Name: Data Analysis and Visualization with Microsoft Excel
Price: 55 GBP
Availability: InStock

Loughborough

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		<div>
			
			<p>This course will enable you to bring value to the business by putting data science concepts into practice. Data is crucial for understanding where the business is and where it's headed. Not only can data reveal insights, but it can also inform - by guiding decisions and influencing day-to-day operations.</p>
			<div><i></i> 5 Days - 1 Exam</div>
			<div><i></i>  £595.00 incl. VAT</div>
			
			
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		<h3>Description</h3>
		<p></p><p>For a business to thrive in our data-driven world, it must treat data as one of its most important assets. Data is crucial for understanding where the business is and where it's headed. Not only can data reveal insights, but it can also inform - by guiding decisions and influencing day-to-day operations. This calls for a robust workforce of professionals who can analyze, understand, manipulate, and present data within an effective and repeatable process framework. In other words, the business world needs data science practitioners. This course will enable you to bring value to the business by putting data science concepts into practice. This course includes hands-on activities for each topic area.</p>
<h3>Course Objectives: </h3>
<p>In this course, you will implement data science techniques in order to address business issues. You will:</p>
<p>• Use data science principles to address business issues. <br />• Apply the extract, transform, and load (ETL) process to prepare datasets. <br />• Use multiple techniques to analyze data and extract valuable insights. <br />• Design a machine learning approach to address business issues. <br />• Train, tune, and evaluate classification models. <br />• Train, tune, and evaluate regression and forecasting models. <br />• Train, tune, and evaluate clustering models. <br />• Finalize a data science project by presenting models to an audience, putting models into production, and monitoring model performance.</p>
<p></p>
	
		<h3>Target Student</h3>
		<p></p><p>This course is designed for business professionals who leverage data to address business issues. The typical student in this course will have several years of experience with computing technology, including some aptitude in computer programming.  However, there is not necessarily a single organizational role that this course targets. A prospective student might be a programmer looking to expand their knowledge of how to guide business decisions by collecting, wrangling, analyzing, and manipulating data through code; or a data analyst with a background in applied math and statistics who wants to take their skills to the next level; or any number of other data-driven situations. </p>
<p>Ultimately, the target student is someone who wants to learn how to more effectively extract insights from their work and leverage that insight in addressing business issues, thereby bringing greater value to the business.  This course is also designed to assist students in preparing for the Certified Data Science Practitioner certification.</p>
<p></p>
	
		<h3>Prerequisites</h3>
		<p></p><p>To ensure your success in this course, you should have at least a high-level understanding of fundamental data science concepts, including, but not limited to: types of data, data science roles, the overall data science lifecycle, and the benefits and challenges of data science.</p>
<p>You should have also have experience with high-level programming languages like Python. Being comfortable using fundamental Python data science libraries like NumPy and pandas is highly recommended.</p>
<p>In addition to programming, you should also have experience working with databases, including querying languages like SQL. </p>
<p></p>
	
		<h3>Modules/Lessons</h3>
		<p></p><h4>Lesson 1: Addressing Business Issues with Data Science</h4>
<div>
<p>Topic A: Initiate a Data Science Project<br />Topic B: Formulate a Data Science Problem</p>
<h4>Lesson 2: Extracting, Transforming, and Loading Data</h4>
<p>Topic A: Extract Data <br />Topic B: Transform Data <br />Topic C: Load Data</p>
<h4>Lesson 3: Analyzing Data</h4>
<p>Topic A: Examine Data<br />Topic B: Explore the Underlying Distribution of Data <br />Topic C: Use Visualizations to Analyze Data<br />Topic D: Preprocess Data</p>
<h4>Lesson 4: Designing a Machine Learning Approach</h4>
<p>Topic A: Identify Machine Learning Concepts<br />Topic B: Test a Hypothesis</p>
</div>
<h4>Lesson 5: Developing Classification Models</h4>
<p>Topic A: Train and Tune Classification Models <br />Topic B: Evaluate Classification Models</p>
<h4>Lesson 6: Developing Regression Models</h4>
<p>Topic A: Train and Tune Regression Models <br />Topic B: Evaluate Regression Models</p>
<h4>Lesson 7: Developing Clustering Models</h4>
<p>Topic A: Train and Tune Clustering Models <br />Topic B: Evaluate Clustering Models</p>
<h4>Lesson 8: Finalizing a Data Science Project</h4>
<p>Topic A: Communicate Results to Stakeholders <br />Topic B: Demonstrate Models in a Web App <br />Topic C: Implement and Test Production Pipelines</p>
<p></p>

This course will enable you to bring value to the business by putting data science concepts into practice. Data is crucial for understanding where the business is and where it's headed. Not only can data reveal insights, but it can also inform - by guiding decisions and influencing day-to-day operations.
5 Days - 1 Exam £595.00 incl. VAT
Want to run this event in-house? Enquire about running this event in-house 
Interested in attending? Have a suggestion about running this event near you?
Register your interest now
Description

For a business to thrive in our data-driven world, it must treat data as one of its most important assets. Data is crucial for understanding where the business is and where it's headed. Not only can data reveal insights, but it can also inform - by guiding decisions and influencing day-to-day operations. This calls for a robust workforce of professionals who can analyze, understand, manipulate, and present data within an effective and repeatable process framework. In other words, the business world needs data science practitioners. This course will enable you to bring value to the business by putting data science concepts into practice. This course includes hands-on activities for each topic area.
Course Objectives: 
In this course, you will implement data science techniques in order to address business issues. You will:
• Use data science principles to address business issues. 
• Apply the extract, transform, and load (ETL) process to prepare datasets. 
• Use multiple techniques to analyze data and extract valuable insights. 
• Design a machine learning approach to address business issues. 
• Train, tune, and evaluate classification models. 
• Train, tune, and evaluate regression and forecasting models. 
• Train, tune, and evaluate clustering models. 
• Finalize a data science project by presenting models to an audience, putting models into production, and monitoring model performance.

Target Student

This course is designed for business professionals who leverage data to address business issues. The typical student in this course will have several years of experience with computing technology, including some aptitude in computer programming. However, there is not necessarily a single organizational role that this course targets. A prospective student might be a programmer looking to expand their knowledge of how to guide business decisions by collecting, wrangling, analyzing, and manipulating data through code; or a data analyst with a background in applied math and statistics who wants to take their skills to the next level; or any number of other data-driven situations. 
Ultimately, the target student is someone who wants to learn how to more effectively extract insights from their work and leverage that insight in addressing business issues, thereby bringing greater value to the business. This course is also designed to assist students in preparing for the Certified Data Science Practitioner certification.

Prerequisites

To ensure your success in this course, you should have at least a high-level understanding of fundamental data science concepts, including, but not limited to: types of data, data science roles, the overall data science lifecycle, and the benefits and challenges of data science.
You should have also have experience with high-level programming languages like Python. Being comfortable using fundamental Python data science libraries like NumPy and pandas is highly recommended.
In addition to programming, you should also have experience working with databases, including querying languages like SQL. 

Modules/Lessons

Lesson 1: Addressing Business Issues with Data Science
Topic A: Initiate a Data Science Project
Topic B: Formulate a Data Science Problem
Lesson 2: Extracting, Transforming, and Loading Data
Topic A: Extract Data 
Topic B: Transform Data 
Topic C: Load Data
Lesson 3: Analyzing Data
Topic A: Examine Data
Topic B: Explore the Underlying Distribution of Data 
Topic C: Use Visualizations to Analyze Data
Topic D: Preprocess Data
Lesson 4: Designing a Machine Learning Approach
Topic A: Identify Machine Learning Concepts
Topic B: Test a Hypothesis
Lesson 5: Developing Classification Models
Topic A: Train and Tune Classification Models 
Topic B: Evaluate Classification Models
Lesson 6: Developing Regression Models
Topic A: Train and Tune Regression Models 
Topic B: Evaluate Regression Models
Lesson 7: Developing Clustering Models
Topic A: Train and Tune Clustering Models 
Topic B: Evaluate Clustering Models
Lesson 8: Finalizing a Data Science Project
Topic A: Communicate Results to Stakeholders 
Topic B: Demonstrate Models in a Web App 
Topic C: Implement and Test Production Pipelines


Mpi Learning - Professional Learning And Development Provider

This course will enable you to bring value to the business by putting data science concepts into practice. Data is crucial for understanding where the business is and where it's headed. Not only can data reveal insights, but it can also inform - by guiding decisions and influencing day-to-day operations.

Certified Data Science Practitioner

General Admission

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		<div>
			
			<p>This course shows you how to apply various approaches and algorithms to solve business problems through AI and ML, follow a methodical workflow to develop sound solutions, use open-source, off-the-shelf tools to develop, test, and deploy those solutions, and ensure that they protect the privacy of users. This course includes hands-on activities for each topic area.</p>
			<div><i></i> 5 Days 1 Exam</div>
			<div><i></i>  £595.00 incl. VAT</div>
			
			
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		<h3>Description</h3>
		<p></p><h3>Overview:</h3>
<p>Artificial intelligence (AI) and machine learning (ML) have become an essential part of the toolset for many organisations. When used effectively, these tools provide actionable insights that drive critical decisions and enable organisations to create exciting, new, and innovative products and services. This course shows you how to apply various approaches and algorithms to solve business problems through AI and ML, follow a methodical workflow to develop sound solutions, use open-source, off-the-shelf tools to develop, test, and deploy those solutions, and ensure that they protect the privacy of users. This course includes hands-on activities for each topic area.</p>
<h3>Course Objectives:</h3>
<p>In this course, you will implement AI techniques in order to solve business problems. You will:</p>
<p>• Specify a general approach to solve a given business problem that uses applied AI and ML.<br />• Collect and refine a dataset to prepare it for training and testing. <br />• Train and tune a machine learning model. <br />• Finalize a machine learning model and present the results to the appropriate audience. <br />• Build linear regression models. <br />• Build classification models. <br />• Build clustering models. <br />• Build decision trees and random forests. <br />• Build support-vector machines (SVMs). <br />• Build artificial neural networks (ANNs). <br />• Promote data privacy and ethical practices within AI and ML projects. </p>
<p> </p>
<p></p>
	
		<h3>Modules/Lessons</h3>
		<p></p><h4><span>Lesson 1: Solving Business Problems Using AI and ML</span></h4>
<p>Topic A: Identify AI and ML Solutions for Business Problems<br />Topic B: Formulate a Machine Learning Problem<br />Topic C: Select Appropriate Tools  </p>
<h4>Lesson 2: Collecting and Refining the Dataset</h4>
<p>Topic A: Collect the Dataset<br />Topic B: Analyze the Dataset to Gain Insights<br />Topic C: Use Visualizations to Analyze Data<br />Topic D: Prepare Data</p>
<h4>Lesson 3: Setting Up and Training a Model</h4>
<p>Topic A: Set Up a Machine Learning Model<br />Topic B: Train the Model </p>
<h4>Lesson 4: Finalizing a Model </h4>
<p>Topic A: Translate Results into Business Actions<br />Topic B: Incorporate a Model into a Long-Term Business Solution </p>
<h4>Lesson 5: Building Linear Regression Models</h4>
<p>Topic A: Build a Regression Model Using Linear Algebra<br />Topic B: Build a Regularized Regression Model Using Linear Algebra<br />Topic C: Build an Iterative Linear Regression Model </p>
<h4>Lesson 6: Building Classification Models</h4>
<p>Topic A: Train Binary Classification Models<br />Topic B: Train Multi-Class Classification Models<br />Topic C: Evaluate Classification Models<br />Topic D: Tune Classification Models</p>
<h4>Lesson 7: Building Clustering Models</h4>
<p>Topic A: Build k-Means Clustering Models<br />Topic B:  Build  Hierarchical  Clustering  Mode</p>
<h4>Lesson 8: Building Advanced Models</h4>
<p>Topic A: Build  Decision Tree Models<br />Topic B: Build Random Forest Model Lesson</p>
<h4>Lesson  9: Building Supports Vector Machines</h4>
<p>Topic A: Build SVM Models for Classification<br />Topic B:  Build SVM Models for Regression</p>
<h4>Lesson 10: Building Artificial Neural Networks</h4>
<p>Topic A: Build Multilayer Perceptrons (MLP)<br />Topic B: Build Convolutional Neural Networks (CNN)</p>
<h4>Lesson 11: Promoting Data Privacy and Ethical Practices</h4>
<p>Topic A: Protect Data Privacy<br />Topic B: Promote Ethical  Practices<br />Topic C: Establish Data Privacy and Ethics Policies</p>
<p></p>
	
		<h3>Prerequisites</h3>
		<p></p><p>To ensure your success in this course, you should have at least a high-level understanding of fundamental AI concepts, including, but not limited to: machine learning, supervised learning, unsupervised learning, artificial neural networks, computer vision, and natural language processing.</p>
<p>You should also have experience working with databases and a high-level programming language such as Python, Java, or C/C++.</p>
<p></p>
	
		<h3>Target Student</h3>
		<p></p><p>The skills covered in this course converge on three areas-software development, applied math and statistics, and business analysis. Target students for this course may be strong in one or two or these of these areas and looking to round out their skills in the other areas so they can apply artificial intelligence (AI) systems, particularly machine learning models, to business problems.  So the target student may be a programmer looking to develop additional skills to apply machine learning algorithms to business problems, or a data analyst who already has strong skills in applying math and statistics to business problems, but is looking to develop technology skills related to machine learning.   A typical student in this course should have several years of experience with computing technology, including some aptitude in computer programming. </p>
<p>This course is also designed to assist students in preparing for the Certified Artificial Intelligence (AI) Practitioner certification.</p>
<p></p>

This course shows you how to apply various approaches and algorithms to solve business problems through AI and ML, follow a methodical workflow to develop sound solutions, use open-source, off-the-shelf tools to develop, test, and deploy those solutions, and ensure that they protect the privacy of users. This course includes hands-on activities for each topic area.
5 Days 1 Exam £595.00 incl. VAT
Want to run this event in-house? Enquire about running this event in-house 
Interested in attending? Have a suggestion about running this event near you?
Register your interest now
Description

Overview:
Artificial intelligence (AI) and machine learning (ML) have become an essential part of the toolset for many organisations. When used effectively, these tools provide actionable insights that drive critical decisions and enable organisations to create exciting, new, and innovative products and services. This course shows you how to apply various approaches and algorithms to solve business problems through AI and ML, follow a methodical workflow to develop sound solutions, use open-source, off-the-shelf tools to develop, test, and deploy those solutions, and ensure that they protect the privacy of users. This course includes hands-on activities for each topic area.
Course Objectives:
In this course, you will implement AI techniques in order to solve business problems. You will:
• Specify a general approach to solve a given business problem that uses applied AI and ML.
• Collect and refine a dataset to prepare it for training and testing. 
• Train and tune a machine learning model. 
• Finalize a machine learning model and present the results to the appropriate audience. 
• Build linear regression models. 
• Build classification models. 
• Build clustering models. 
• Build decision trees and random forests. 
• Build support-vector machines (SVMs). 
• Build artificial neural networks (ANNs). 
• Promote data privacy and ethical practices within AI and ML projects. 
 

Modules/Lessons

Lesson 1: Solving Business Problems Using AI and ML
Topic A: Identify AI and ML Solutions for Business Problems
Topic B: Formulate a Machine Learning Problem
Topic C: Select Appropriate Tools 
Lesson 2: Collecting and Refining the Dataset
Topic A: Collect the Dataset
Topic B: Analyze the Dataset to Gain Insights
Topic C: Use Visualizations to Analyze Data
Topic D: Prepare Data
Lesson 3: Setting Up and Training a Model
Topic A: Set Up a Machine Learning Model
Topic B: Train the Model 
Lesson 4: Finalizing a Model
Topic A: Translate Results into Business Actions
Topic B: Incorporate a Model into a Long-Term Business Solution 
Lesson 5: Building Linear Regression Models
Topic A: Build a Regression Model Using Linear Algebra
Topic B: Build a Regularized Regression Model Using Linear Algebra
Topic C: Build an Iterative Linear Regression Model 
Lesson 6: Building Classification Models
Topic A: Train Binary Classification Models
Topic B: Train Multi-Class Classification Models
Topic C: Evaluate Classification Models
Topic D: Tune Classification Models
Lesson 7: Building Clustering Models
Topic A: Build k-Means Clustering Models
Topic B: Build Hierarchical Clustering Mode
Lesson 8: Building Advanced Models
Topic A: Build Decision Tree Models
Topic B: Build Random Forest Model Lesson
Lesson 9: Building Supports Vector Machines
Topic A: Build SVM Models for Classification
Topic B: Build SVM Models for Regression
Lesson 10: Building Artificial Neural Networks
Topic A: Build Multilayer Perceptrons (MLP)
Topic B: Build Convolutional Neural Networks (CNN)
Lesson 11: Promoting Data Privacy and Ethical Practices
Topic A: Protect Data Privacy
Topic B: Promote Ethical Practices
Topic C: Establish Data Privacy and Ethics Policies

Prerequisites

To ensure your success in this course, you should have at least a high-level understanding of fundamental AI concepts, including, but not limited to: machine learning, supervised learning, unsupervised learning, artificial neural networks, computer vision, and natural language processing.
You should also have experience working with databases and a high-level programming language such as Python, Java, or C/C++.

Target Student

The skills covered in this course converge on three areas-software development, applied math and statistics, and business analysis. Target students for this course may be strong in one or two or these of these areas and looking to round out their skills in the other areas so they can apply artificial intelligence (AI) systems, particularly machine learning models, to business problems. So the target student may be a programmer looking to develop additional skills to apply machine learning algorithms to business problems, or a data analyst who already has strong skills in applying math and statistics to business problems, but is looking to develop technology skills related to machine learning. A typical student in this course should have several years of experience with computing technology, including some aptitude in computer programming. 
This course is also designed to assist students in preparing for the Certified Artificial Intelligence (AI) Practitioner certification.


Machine Learning (ML)

NLP Practitioner

Trainers Course

Azure Machine Learning

Microsoft AI-900

AI (Artificial Intelligence)

This course shows you how to apply various approaches and algorithms to solve business problems through AI and ML, follow a methodical workflow to develop sound solutions, use open-source, off-the-shelf tools to develop, test, and deploy those solutions, and ensure that they protect the privacy of users. This course includes hands-on activities for each topic area.

Certified Artificial Intelligence Practitioner

Kuala Lumpur

<section style="color: rgb(33, 37, 41); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(33, 37, 41);"><h2 style="color: rgb(62, 57, 52); box-sizing: border-box;" fr-original-style=" color: rgb(62, 57, 52);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">About this Classroom Training</strong></h2><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">In the upcoming digital era, Python stands out as the language of the future for effective AI and data analytics implementation, particularly in the Oil and Gas sector. Its widespread adoption is attributed to extensive libraries, versatility, and a thriving community of developers consistently pushing the boundaries of the field. This training course will tailor a transformative learning experience for professionals in oil and gas.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Commencing with overview in the computer programming, participants delve into programming fundamentals and set up their Python coding environment. Participants will be able to explore flow control tools and functions, unlocking the full potential of Python. Furthermore, participants will gain expertise in various programming paradigms, with a particular focus on Object-Oriented Programming (OOP), a crucial foundation for building sophisticated applications.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Participants will navigate through file handling, internal modules, and external libraries like NumPy, Pandas, and Matplotlib, providing proficiency in data manipulation and visualization tailored for the challenges of real-life projects. Through a hands-on Data Analytics Project, participants will apply their skills to a real-world dataset, derive insights, and present findings.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This comprehensive workshop equips professionals with the tools for effective automation and data analytics in the Oil and Gas sector. Participants will experience a robust understanding of Python&rsquo;s applications, ready to drive impactful and data-driven initiatives in their professional journey.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This course will be delivered face-to-face over 5-day sessions, comprising of 8 hours per day, 1 hour lunch and 2 breaks of 15 minutes per day. Course Duration: 8 hours in total, 40 CPD points. Maximum number of participants: 30</p><p id="isPasted" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><a href="https://petroedgeasia.net/training/assessment-based-training-python-programming-analytics-for-the-oil-gas-sector-maximising-value-from-data-assets/" fr-original-style="" style="user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;">Download your brochure</a></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><a href="mailto:info@asiaedge.net?subject=Please Send me the Brochure for Assessment Based Training – Python Programming & Analytics for the Oil & Gas Sector – Maximising Value from Data Assets" fr-original-style="" style="user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;">Email me the brochure</a></p></section><section style="color: rgb(33, 37, 41); box-sizing: border-box;" fr-original-style=" color: rgb(33, 37, 41);"><a data-toggle="collapse" href="https://petroedgeasia.net/training/assessment-based-training-python-programming-analytics-for-the-oil-gas-sector-maximising-value-from-data-assets/#collapseOne" style="color: rgb(51, 51, 51); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: rgb(51, 51, 51);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">TRAINING OBJECTIVES</strong></a><div data-parent="#accordion" fr-original-style="" style="box-sizing: border-box;"><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Acquire a comprehensive understanding of Python syntax, including variables, data types, and fundamental programming constructs.</li><li fr-original-style="" style="box-sizing: border-box;">Apply Python programming skills to analyze industry-specific datasets, extracting meaningful insights that can inform decision-making and operational efficiency.</li><li fr-original-style="" style="box-sizing: border-box;">Demonstrate the ability to automate routine tasks and streamline workflows within the Oil and Gas sector using Python.</li><li fr-original-style="" style="box-sizing: border-box;">Develop practical solutions and strategies using Python programming for challenges commonly faced in the industry, fostering hands-on experience and problem-solving capabilities.</li><li fr-original-style="" style="box-sizing: border-box;">Gain insights into emerging trends in digital technology within the industry and how Python can be leveraged for continuous adaptation and innovation.</li></ul></div><a data-toggle="collapse" href="https://petroedgeasia.net/training/assessment-based-training-python-programming-analytics-for-the-oil-gas-sector-maximising-value-from-data-assets/#collapseTwo" style="color: rgb(51, 51, 51); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: rgb(51, 51, 51);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">TARGET AUDIENCE</strong></a><div data-parent="#accordion" fr-original-style="" style="box-sizing: border-box;"><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">All Engineers and Technologists from diverse fields who are interested in utilizing Python programming and data analytics techniques to explore and address challenges within their respective domains.</li><li fr-original-style="" style="box-sizing: border-box;">Data Analysts and Scientists who working with data generated by sensors, monitoring equipment, and other sources within the industry.</li><li fr-original-style="" style="box-sizing: border-box;">IT and Automation Specialists who responsible for designing and implementing IT solutions and automation systems as well as who involve in developing and maintaining software application in the Oil and Gas sector.</li><li fr-original-style="" style="box-sizing: border-box;">Executives and Managers seeking a strategic understanding of how Python and data analytics can impact decision-making and operational efficiency in the industry.</li><li fr-original-style="" style="box-sizing: border-box;">Professionals who interest in applying Python programming and data analytics techniques to study and solve challenges in the Oil and Gas field.</li><li fr-original-style="" style="box-sizing: border-box;">Individuals from related industries or backgrounds who are transitioning into roles within the Oil and Gas sector and wish to acquire relevant Python skills.</li><li fr-original-style="" style="box-sizing: border-box;">Professionals from diverse backgrounds who recognize the growing importance of data analytics in the Oil and Gas sector and wish to enhance their skill set.</li></ul></div><a data-toggle="collapse" href="https://petroedgeasia.net/training/assessment-based-training-python-programming-analytics-for-the-oil-gas-sector-maximising-value-from-data-assets/#collapsecl" style="color: rgb(51, 51, 51); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: rgb(51, 51, 51);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">COURSE LEVEL</strong></a><div data-parent="#accordion" fr-original-style="" style="box-sizing: border-box;"><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Basic</li><li fr-original-style="" style="box-sizing: border-box;">Intermediate</li></ul></div><a data-toggle="collapse" href="https://petroedgeasia.net/training/assessment-based-training-python-programming-analytics-for-the-oil-gas-sector-maximising-value-from-data-assets/#collapseThree" style="color: rgb(51, 51, 51); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: rgb(51, 51, 51);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">TRAINING METHODS</strong></a><div data-parent="#accordion" fr-original-style="" style="box-sizing: border-box;"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The trainer will employ the &lsquo;learning by doing&rsquo; method by emphasizing practical application. Participants will be introduced to the concepts and theories using techniques that they can easily relate to. The learning experience is then reinforced by implementing the subject through real-life examples. The trainer will provide quizzes and tests for self-assessment and ensuring participants can measure their understanding and apply the knowledge effectively. This hands-on approach not only enhances comprehension but also empowers participants to confidently apply the learned skills in their professional endeavors.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Preparation ahead of the Class:</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Participants are required to download the&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Python 3.x</strong>&nbsp;version software onto their laptops.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The instructions are provided below:</p><ol fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Download&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Anaconda</strong>&nbsp;by visiting the Anaconda website (https://www.anaconda.com/products/distribution).</li><li fr-original-style="" style="box-sizing: border-box;">Click on the &ldquo;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Download</strong>&rdquo; button for the version that suits your operating system (Windows, macOS, Linux).</li><li fr-original-style="" style="box-sizing: border-box;">&nbsp;Select the&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Python 3.x</strong>&nbsp;version (e.g., Python 3.8) during the installation process.</li><li fr-original-style="" style="box-sizing: border-box;">Install Anaconda follow the instructions to run the installer. Install Just Me (Recommended).</li></ol></div><a data-toggle="collapse" href="https://petroedgeasia.net/training/assessment-based-training-python-programming-analytics-for-the-oil-gas-sector-maximising-value-from-data-assets/#collapseFive" style="color: rgb(51, 51, 51); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: rgb(51, 51, 51);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">TRAINER</strong></a><div data-parent="#accordion" fr-original-style="" style="box-sizing: border-box;"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Your expert trainer is a seasoned multidisciplinary engineer with a 15-year professional journey, driven by an unwavering commitment to innovation and excellence. Armed with a Ph.D. in offshore engineering, he draws extensive insights from diverse industry sectors, notably oil and gas, where he served as a subsea pipeline engineer. His hands-on experience encompasses the entire spectrum, from design and manufacturing to installation and operations of offshore oil and gas facilities.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Previously at Rosen Group, your expert trainer developed digital tools for offshore structural assessments and risk-based inspection. He led research at the ARC Offshore Floating Facilities Hub on enhancing riser design and monitoring using Python and data analytics. He performed design verification for INPEX, Chevron, and Apache on subsea pipelines, risers, umbilicals, and LNG facilities, and was a deputy project manager on verifying the Ichthys gas pipeline. He conducted risk-based inspection and auditing of the Ichthys LNG plant for DNV GL. He also worked as a structural engineer at Advanced Building Engineers designing steel structures, buildings, and other components. Meanwhile, at the University of Western Australia (UWA), your expert trainer developed AI and data solutions for the oil &amp; gas industry focused on condition monitoring and probabilistic assessments and led research on offshore facilities by creating tools for analysis and machine learning.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">His academic pursuit culminated in a thesis that underscores his proficiency in employing data science and machine learning, primarily through Python. His research focused on optimising asset integrity management for offshore oil and gas assets, showcasing a seamless integration of engineering and cutting-edge technology. In 2023, he fully unleash AI-driven solutions across diverse sectors. Currently, he actively contributes to mineral resource exploration and assists oil and gas operators in the effective implementation of new AI and digital technologies.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">His dedication to knowledge dissemination is evident through his role as a global educator. Over the past five years, he has conducted Python programming lectures at universities and industries, reaching over 1000 novices. His unwavering commitment to lifelong learning, coupled with a growth mindset have positions him as a transformative trainer in the realms of applied AI, data science, and engineering in oil and gas sector</p><section style="color: rgb(33, 37, 41); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(33, 37, 41);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><a href="https://petroedgeasia.net/training/assessment-based-training-python-programming-analytics-for-the-oil-gas-sector-maximising-value-from-data-assets/" fr-original-style="" style="user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;">Download your brochure</a></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><a href="mailto:info@asiaedge.net?subject=Please Send me the Brochure for Assessment Based Training – Python Programming & Analytics for the Oil & Gas Sector – Maximising Value from Data Assets" fr-original-style="" style="user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;">Email me the brochure</a></p></section></div><a data-toggle="collapse" href="https://petroedgeasia.net/training/assessment-based-training-python-programming-analytics-for-the-oil-gas-sector-maximising-value-from-data-assets/#collapseCS" style="color: rgb(51, 51, 51); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: rgb(51, 51, 51);">POST TRAINING COACHING SUPPORT (OPTIONAL)</a><div data-parent="#accordion" fr-original-style="" style="box-sizing: border-box;"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">To further optimise your learning experience from our courses, we also offer individualized &ldquo;One to One&rdquo; coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster.<br fr-original-style="" style="box-sizing: border-box;"><a href="mailto:info@asiaedge.net?subject=Request%20for%20further%20information%20regarding%20post%20training%20coaching%20support" target="_blank" style="color: rgb(0, 123, 255); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: rgb(0, 123, 255);">Request for further information post training support</a>&nbsp;and fees applicable.</p></div></section>

About this Classroom Training
In the upcoming digital era, Python stands out as the language of the future for effective AI and data analytics implementation, particularly in the Oil and Gas sector. Its widespread adoption is attributed to extensive libraries, versatility, and a thriving community of developers consistently pushing the boundaries of the field. This training course will tailor a transformative learning experience for professionals in oil and gas.
Commencing with overview in the computer programming, participants delve into programming fundamentals and set up their Python coding environment. Participants will be able to explore flow control tools and functions, unlocking the full potential of Python. Furthermore, participants will gain expertise in various programming paradigms, with a particular focus on Object-Oriented Programming (OOP), a crucial foundation for building sophisticated applications.
Participants will navigate through file handling, internal modules, and external libraries like NumPy, Pandas, and Matplotlib, providing proficiency in data manipulation and visualization tailored for the challenges of real-life projects. Through a hands-on Data Analytics Project, participants will apply their skills to a real-world dataset, derive insights, and present findings.
This comprehensive workshop equips professionals with the tools for effective automation and data analytics in the Oil and Gas sector. Participants will experience a robust understanding of Python’s applications, ready to drive impactful and data-driven initiatives in their professional journey.
This course will be delivered face-to-face over 5-day sessions, comprising of 8 hours per day, 1 hour lunch and 2 breaks of 15 minutes per day. Course Duration: 8 hours in total, 40 CPD points. Maximum number of participants: 30
Download your brochure
Email me the brochure
TRAINING OBJECTIVES
Acquire a comprehensive understanding of Python syntax, including variables, data types, and fundamental programming constructs.
Apply Python programming skills to analyze industry-specific datasets, extracting meaningful insights that can inform decision-making and operational efficiency.
Demonstrate the ability to automate routine tasks and streamline workflows within the Oil and Gas sector using Python.
Develop practical solutions and strategies using Python programming for challenges commonly faced in the industry, fostering hands-on experience and problem-solving capabilities.
Gain insights into emerging trends in digital technology within the industry and how Python can be leveraged for continuous adaptation and innovation.
TARGET AUDIENCE
All Engineers and Technologists from diverse fields who are interested in utilizing Python programming and data analytics techniques to explore and address challenges within their respective domains.
Data Analysts and Scientists who working with data generated by sensors, monitoring equipment, and other sources within the industry.
IT and Automation Specialists who responsible for designing and implementing IT solutions and automation systems as well as who involve in developing and maintaining software application in the Oil and Gas sector.
Executives and Managers seeking a strategic understanding of how Python and data analytics can impact decision-making and operational efficiency in the industry.
Professionals who interest in applying Python programming and data analytics techniques to study and solve challenges in the Oil and Gas field.
Individuals from related industries or backgrounds who are transitioning into roles within the Oil and Gas sector and wish to acquire relevant Python skills.
Professionals from diverse backgrounds who recognize the growing importance of data analytics in the Oil and Gas sector and wish to enhance their skill set.
COURSE LEVEL
Basic
Intermediate
TRAINING METHODS
The trainer will employ the ‘learning by doing’ method by emphasizing practical application. Participants will be introduced to the concepts and theories using techniques that they can easily relate to. The learning experience is then reinforced by implementing the subject through real-life examples. The trainer will provide quizzes and tests for self-assessment and ensuring participants can measure their understanding and apply the knowledge effectively. This hands-on approach not only enhances comprehension but also empowers participants to confidently apply the learned skills in their professional endeavors.
Preparation ahead of the Class:
Participants are required to download the Python 3.x version software onto their laptops.
The instructions are provided below:
Download Anaconda by visiting the Anaconda website (https://www.anaconda.com/products/distribution).
Click on the “Download” button for the version that suits your operating system (Windows, macOS, Linux).
Select the Python 3.x version (e.g., Python 3.8) during the installation process.
Install Anaconda follow the instructions to run the installer. Install Just Me (Recommended).
TRAINER
Your expert trainer is a seasoned multidisciplinary engineer with a 15-year professional journey, driven by an unwavering commitment to innovation and excellence. Armed with a Ph.D. in offshore engineering, he draws extensive insights from diverse industry sectors, notably oil and gas, where he served as a subsea pipeline engineer. His hands-on experience encompasses the entire spectrum, from design and manufacturing to installation and operations of offshore oil and gas facilities.
Previously at Rosen Group, your expert trainer developed digital tools for offshore structural assessments and risk-based inspection. He led research at the ARC Offshore Floating Facilities Hub on enhancing riser design and monitoring using Python and data analytics. He performed design verification for INPEX, Chevron, and Apache on subsea pipelines, risers, umbilicals, and LNG facilities, and was a deputy project manager on verifying the Ichthys gas pipeline. He conducted risk-based inspection and auditing of the Ichthys LNG plant for DNV GL. He also worked as a structural engineer at Advanced Building Engineers designing steel structures, buildings, and other components. Meanwhile, at the University of Western Australia (UWA), your expert trainer developed AI and data solutions for the oil & gas industry focused on condition monitoring and probabilistic assessments and led research on offshore facilities by creating tools for analysis and machine learning.
His academic pursuit culminated in a thesis that underscores his proficiency in employing data science and machine learning, primarily through Python. His research focused on optimising asset integrity management for offshore oil and gas assets, showcasing a seamless integration of engineering and cutting-edge technology. In 2023, he fully unleash AI-driven solutions across diverse sectors. Currently, he actively contributes to mineral resource exploration and assists oil and gas operators in the effective implementation of new AI and digital technologies.
His dedication to knowledge dissemination is evident through his role as a global educator. Over the past five years, he has conducted Python programming lectures at universities and industries, reaching over 1000 novices. His unwavering commitment to lifelong learning, coupled with a growth mindset have positions him as a transformative trainer in the realms of applied AI, data science, and engineering in oil and gas sector
Download your brochure
Email me the brochure
POST TRAINING COACHING SUPPORT (OPTIONAL)
To further optimise your learning experience from our courses, we also offer individualized “One to One” coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster.
Request for further information post training support and fees applicable.

EnergyEdge - Training for a Sustainable Energy Future

Maximize the value of data assets in the oil and gas sector with EnergyEdge's assessment-based training course on Python programming and analytics.

Assessment Based Training - Python Programming & Analytics for the Oil & Gas Sector - Maximising Value from Data Assets

Team of 10, pp

Normal Fee, pp

Launceston

<p style="color: rgb(255, 255, 255); font-size: var(--font-size); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(255, 255, 255);"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Data analysis translates numbers and data into information that can be used to solve problems or track business performance. Data analysis produces graphs, charts, tables and reports. Data analysis is in high demand across all sectors, such as finance, consulting, manufacturing, pharmaceuticals, government and education. The ability to pay attention to detail, communicate well and be highly organised are essential skills for data analysts. They not only need to understand the data but be able to provide insight and analysis through clear visual, written and verbal communication. This course provides the knowledge and skills to help you hone your data analysis skills.</span></p><h2 style="color: rgb(255, 255, 255); box-sizing: border-box;" fr-original-style=" color: rgb(255, 255, 255);"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Course Summary</span></h2><table style="color: rgb(255, 255, 255); border: none; border-collapse: collapse; empty-cells: show; max-width: 100%; box-sizing: border-box;" fr-original-style=" color: rgb(255, 255, 255);"><tbody fr-original-style="" style="box-sizing: border-box;"><tr fr-original-style="" style="box-sizing: border-box;"><td fr-original-style="" style="min-width: 5px; box-sizing: border-box; user-select: text; border: 1px solid rgb(221, 221, 221);"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Level</strong>: Level 1 / 2</span></td><td fr-original-style="" style="min-width: 5px; box-sizing: border-box; user-select: text; border: 1px solid rgb(221, 221, 221);"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Duration</strong>: Online or 1 Week Face to Face (5 day)</span></td></tr><tr fr-original-style="" style="box-sizing: border-box;"><td fr-original-style="" style="min-width: 5px; box-sizing: border-box; user-select: text; border: 1px solid rgb(221, 221, 221);"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Start Date</strong>: Anytime</span></td><td fr-original-style="" style="min-width: 5px; box-sizing: border-box; user-select: text; border: 1px solid rgb(221, 221, 221);"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Type</strong>: Online or Face to Face</span></td></tr><tr fr-original-style="" style="box-sizing: border-box;"><td colspan="2" fr-original-style="" style="min-width: 5px; box-sizing: border-box; user-select: text; border: 1px solid rgb(221, 221, 221);"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Location</strong>: Online or Suitable Venue Agreed by Client &amp; Step Into Learning</span></td></tr><tr fr-original-style="" style="box-sizing: border-box;"><td fr-original-style="" style="min-width: 5px; box-sizing: border-box; user-select: text; border: 1px solid rgb(221, 221, 221);"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Price</strong>: &pound;150</span></td><td fr-original-style="" style="min-width: 5px; box-sizing: border-box; user-select: text; border: 1px solid rgb(221, 221, 221);"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Age Range</strong>: 19+</span></td></tr><tr fr-original-style="" style="box-sizing: border-box;"><td fr-original-style="" style="min-width: 5px; box-sizing: border-box; user-select: text; border: 1px solid rgb(221, 221, 221);"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Funding</strong>: Payment Plan</span></td><td fr-original-style="" style="min-width: 5px; box-sizing: border-box; user-select: text; border: 1px solid rgb(221, 221, 221);"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Awarding Organisation</strong>: OCNL</span></td></tr></tbody></table><div style="color: rgb(105, 98, 98); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(105, 98, 98);"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><br fr-original-style="" style="box-sizing: border-box;"></span></div><div style="color: rgb(105, 98, 98); box-sizing: border-box;" fr-original-style=" color: rgb(105, 98, 98);"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><br fr-original-style="" style="box-sizing: border-box;"></span></div><div style="color: rgb(105, 98, 98); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(105, 98, 98);"><div style="color: rgb(105, 98, 98); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(105, 98, 98);"><div style="color: rgb(105, 98, 98); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(105, 98, 98);"><div style="color: rgb(105, 98, 98); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(105, 98, 98);"><div style="color: rgb(105, 98, 98); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(105, 98, 98);"><div style="color: rgb(105, 98, 98); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(105, 98, 98);"><h2 style="color: rgb(255, 75, 0) !important; box-sizing: border-box;" fr-original-style=" color: rgb(255, 75, 0) !important;">Who is this course for?</h2><p fr-original-style="" style="font-size: var(--font-size); box-sizing: border-box;">This course is suitable for any learner looking to develop and enhance their knowledge and understanding of data analysis. Learners will learn about both the theory and practice of data analysis.</p></div><div style="color: rgb(105, 98, 98); box-sizing: border-box;" fr-original-style=" color: rgb(105, 98, 98);"><h2 style="color: rgb(255, 75, 0) !important; box-sizing: border-box;" fr-original-style=" color: rgb(255, 75, 0) !important;">Entry Requirements</h2><p fr-original-style="" style="font-size: var(--font-size); box-sizing: border-box;">There are no formal qualifications required to undertake this course. To secure your place please return the completed&nbsp;<a href="https://stepintolearning.org.uk/wp-content/uploads/2023/07/Community-Learning-Application-Form.docx" style="color: rgb(255, 75, 0) !important; user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: rgb(255, 75, 0) !important;">application form</a>&nbsp;and send to&nbsp;<a href="mailto:info@stepintolearning.org.uk" style="color: rgb(255, 75, 0) !important; user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: rgb(255, 75, 0) !important;">info@stepintolearning.org.uk</a>. After this, we will arrange an initial assessment with our tutor.</p></div><div style="color: rgb(105, 98, 98); box-sizing: border-box;" fr-original-style=" color: rgb(105, 98, 98);"><h2 style="color: rgb(255, 75, 0) !important; box-sizing: border-box;" fr-original-style=" color: rgb(255, 75, 0) !important;">Why should I do this qualification?</h2><p fr-original-style="" style="font-size: var(--font-size); box-sizing: border-box;">If you want to develop your data analysis skills in order to reskill, upskill or improve your performance at work.</p></div><div style="color: rgb(105, 98, 98); box-sizing: border-box;" fr-original-style=" color: rgb(105, 98, 98);"><h2 style="color: rgb(255, 75, 0) !important; box-sizing: border-box;" fr-original-style=" color: rgb(255, 75, 0) !important;">What will I learn?</h2><p fr-original-style="" style="font-size: var(--font-size); box-sizing: border-box;">Learners will develop their knowledge and understanding of the theory and practice of data analysis skills, which they will then be able to implement in their own workplace. The course units are as follows:</p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Big data essential</li><li fr-original-style="" style="box-sizing: border-box;">Introduction to data analysis</li><li fr-original-style="" style="box-sizing: border-box;">Introduction to big data/using structured query language</li><li fr-original-style="" style="box-sizing: border-box;">Data analysis</li></ul></div><div style="color: rgb(105, 98, 98); box-sizing: border-box;" fr-original-style=" color: rgb(105, 98, 98);"><h2 style="color: rgb(255, 75, 0) !important; box-sizing: border-box;" fr-original-style=" color: rgb(255, 75, 0) !important;">How will I be assessed?</h2><p fr-original-style="" style="font-size: var(--font-size); box-sizing: border-box;">This is an internally assessed qualification &ndash; the work carried out in each session is used to evidence completion of the qualification.</p></div></div></div></div></div></div><div style="color: rgb(105, 98, 98); box-sizing: border-box;" fr-original-style=" color: rgb(105, 98, 98);"><br fr-original-style="" style="box-sizing: border-box;"></div>

Data analysis translates numbers and data into information that can be used to solve problems or track business performance. Data analysis produces graphs, charts, tables and reports. Data analysis is in high demand across all sectors, such as finance, consulting, manufacturing, pharmaceuticals, government and education. The ability to pay attention to detail, communicate well and be highly organised are essential skills for data analysts. They not only need to understand the data but be able to provide insight and analysis through clear visual, written and verbal communication. This course provides the knowledge and skills to help you hone your data analysis skills.
Course Summary
Level: Level 1 / 2	Duration: Online or 1 Week Face to Face (5 day)
Start Date: Anytime	Type: Online or Face to Face
Location: Online or Suitable Venue Agreed by Client & Step Into Learning	
Price: £150	Age Range: 19+
Funding: Payment Plan	Awarding Organisation: OCNL
Who is this course for?
This course is suitable for any learner looking to develop and enhance their knowledge and understanding of data analysis. Learners will learn about both the theory and practice of data analysis.
Entry Requirements
There are no formal qualifications required to undertake this course. To secure your place please return the completed application form and send to info@stepintolearning.org.uk. After this, we will arrange an initial assessment with our tutor.
Why should I do this qualification?
If you want to develop your data analysis skills in order to reskill, upskill or improve your performance at work.
What will I learn?
Learners will develop their knowledge and understanding of the theory and practice of data analysis skills, which they will then be able to implement in their own workplace. The course units are as follows:
Big data essential
Introduction to data analysis
Introduction to big data/using structured query language
Data analysis
How will I be assessed?
This is an internally assessed qualification – the work carried out in each session is used to evidence completion of the qualification.

Step Into Learning

Data analysis translates numbers and data into information that can be used to solve problems or track business performance. Data analysis produces graphs, charts, tables and reports. Data analysis is in high demand across all sectors, such as finance, consulting, manufacturing, pharmaceuticals, government and education. The ability to pay attention to detail, communicate well and be highly organised are essential skills for data analysts. They not only need to understand the data but be able to provide insight and analysis through clear visual, written and verbal communication. This course provides the knowledge and skills to help you hone your data analysis skills.

Data Analysis

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			<p>This course is designed for students who already have foundational knowledge and skills in Excel and who wish to perform robust and advanced data and statistical analysis with Microsoft Excel using PivotTables, use tools such as Power Pivot and the Data Analysis ToolPak to analyze data and visualize data and insights using advanced visualizations in charts and dashboards in Excel.</p>
			<div><i></i> 2 Days</div>
			<div><i></i>  £55.00 incl. VAT</div>
			
			
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		<h3>Description</h3>
		<p></p><p>Technology and the data that it both collects and makes accessible is now interwoven with businesses and lives. The era of "big data" has exploded due to the rise of cloud computing, which provides an abundance of computational power and storage, allowing organizations of all sorts to capture and store data. Leveraging that data effectively can provide timely insights and a competitive advantage.</p>
<p>Analyzing data to find issues, insights, and opportunities is now a critical part of many job roles. Beyond the analysis, data analysts in all job roles must be able to effectively present and communicate their findings in visually compelling ways.</p>
<p>Microsoft® Excel® is designed for this purpose. Excel can connect to a wide range of data sources, perform robust data analysis, create diverse and robust data-backed visualizations to show insights and trends, and create reports. These capabilities enable people who use Excel for data analysis to turn data into thoughtful action.</p>
<h4>Course Objectives:</h4>
<p>In this course, you will analyze and visualize data using Microsoft Excel and associated tools. You will:</p>
<ul>
<li>Perform data analysis fundamentals.</li>
<li>Visualize data with Excel.</li>
<li>Analyze data with formulas and functions.</li>
<li>Analyze data with PivotTables.</li>
<li>Present visual insights with dashboards in Excel.</li>
<li>Create geospatial visualization with Excel.</li>
<li>Perform statistical analysis.</li>
<li>Get and transform data.</li>
<li>Model and analyze data with Power Pivot.</li>
<li>Present insights with reports.</li>
</ul>
<p></p>
	
		<h3>Modules/Lessons</h3>
		<p></p><h4><strong>Lesson 1: </strong>Data Analysis Fundamentals</h4>
<p>Topic A: Introduction to Data Science<br />Topic B: Create and Modify Tables<br />Topic C: Sort and Filter Data</p>
<h4><strong>Lesson 2: </strong>Visualizing Data with Excel</h4>
<p>Topic A: Visualize Data with Charts<br />Topic B: Modify and Format Charts<br />Topic C: Apply Best Practices in Chart Design</p>
<h4><strong>Lesson 3: </strong>Analyzing Data with Formulas and Functions</h4>
<p>Topic A: Analyze Data with Formulas and Named Ranges<br />Topic B: <span>Analyze Data with Functions<br /></span>Topic C: <span>Implement Data Validation, Forms, and Controls<br /></span>Topic D: <span>Create Conditional Visualizations with Lookup Functions</span></p>
<h4><strong>Lesson 4: </strong>Analyzing Data with PivotTables</h4>
<p>Topic A: Create a PivotTable<br />Topic B: Analyze PivotTable Data</p>
<h4>Lesson 5: Presenting Visual Insights with Dashboards in Excel</h4>
<p>Topic A: Visualize Data with PivotCharts<br />Topic B: Filter Data Using Slicers and Timelines<br />Topic C: <span>Create a Dashboard in Excel</span></p>
<h4><strong>Lesson 6: </strong>Creating Geospatial Visualizations with Excel</h4>
<p>Topic A: Create Map Charts in Excel<br />Topic B: Customize Map Charts in Excel</p>
<h4><strong>Lesson 7: </strong>Performing Statistical Analysis</h4>
<p>Topic A: Visualize Trendlines and Sparklines with Excel<br />Topic B: Analyze Data with the Data Analysis ToolPak</p>
<h4><strong>Lesson 8: </strong>Getting and Transforming Data</h4>
<p>Topic A: Connect to Data with Queries<br />Topic B: Clean and Combine Data<br />Topic C: Shape and Transform Data</p>
<h4><strong>Lesson 9: </strong>Modeling and Analyzing Data with Power Pivot</h4>
<p>Topic A: Install Power Pivot in Excel<br />Topic B: Create Data Models with Power Pivot<br />Topic C: Create Power Pivots<br /><span>Topic D: </span><span>Perform Advanced Data Analysis and Visualization</span></p>
<h4>Lesson 10: Presenting Insights with Reports</h4>
<p>Topic A: Plan a Report<br />Topic B: Create a Report</p>
<p></p>
	
		<h3>Prerequisites</h3>
		<p></p><p><span>To ensure success, you should have baseline skill using Microsoft Excel worksheets, particularly in creating workbooks with formulas and functions.</span></p>
<h4>Course-specific Technical Requirements</h4>
<h4>Hardware:</h4>
<p>For this course, you will need one computer for each student and one for the instructor. Each computer will need the following minimum hardware configurations:</p>
<ul>
<li>1 gigahertz (GHz) 64-bit (x64) processor.</li>
<li>4 gigabytes (GB) of Random Access Memory (RAM).</li>
<li>32 GB available storage space.</li>
<li>Monitor capable of a screen resolution of at least 1,024 Ã 768 pixels, at least a 256-color display, and a video adapter with at least 4 MB of memory.</li>
<li>Bootable DVD-ROM or USB drive.</li>
<li>Keyboard and mouse or a compatible pointing device.</li>
<li>Fast Ethernet (100 Mb/s) adapter or faster and cabling to connect to the classroom network.</li>
<li>IP addresses that do not conflict with other portions of your network.</li>
<li>Internet access (contact your local network administrator).</li>
<li>(Instructor computer only) A display system to project the instructor's computer screen.</li>
</ul>
<h4>Software:</h4>
<ul>
<li>Microsoft® Office Professional Plus 2019 or Office 365â¢</li>
<li>Microsoft® Windows® 10 Professional or Enterprise</li>
</ul>
<p></p>
	
		<h3>Target Student</h3>
		<p></p><p><span>This course is designed for students who already have foundational knowledge and skills in Excel and who wish to perform robust and advanced data and statistical analysis with Microsoft Excel using PivotTables, use tools such as Power Pivot and the Data Analysis ToolPak to analyze data, and visualize data and insights using advanced visualizations in charts and dashboards in Excel.</span></p>
<p></p>

This course is designed for students who already have foundational knowledge and skills in Excel and who wish to perform robust and advanced data and statistical analysis with Microsoft Excel using PivotTables, use tools such as Power Pivot and the Data Analysis ToolPak to analyze data and visualize data and insights using advanced visualizations in charts and dashboards in Excel.
2 Days £55.00 incl. VAT
Want to run this event in-house? Enquire about running this event in-house 
Interested in attending? Have a suggestion about running this event near you?
Register your interest now
Description

Technology and the data that it both collects and makes accessible is now interwoven with businesses and lives. The era of "big data" has exploded due to the rise of cloud computing, which provides an abundance of computational power and storage, allowing organizations of all sorts to capture and store data. Leveraging that data effectively can provide timely insights and a competitive advantage.
Analyzing data to find issues, insights, and opportunities is now a critical part of many job roles. Beyond the analysis, data analysts in all job roles must be able to effectively present and communicate their findings in visually compelling ways.
Microsoft® Excel® is designed for this purpose. Excel can connect to a wide range of data sources, perform robust data analysis, create diverse and robust data-backed visualizations to show insights and trends, and create reports. These capabilities enable people who use Excel for data analysis to turn data into thoughtful action.
Course Objectives:
In this course, you will analyze and visualize data using Microsoft Excel and associated tools. You will:
Perform data analysis fundamentals.
Visualize data with Excel.
Analyze data with formulas and functions.
Analyze data with PivotTables.
Present visual insights with dashboards in Excel.
Create geospatial visualization with Excel.
Perform statistical analysis.
Get and transform data.
Model and analyze data with Power Pivot.
Present insights with reports.

Modules/Lessons

Lesson 1: Data Analysis Fundamentals
Topic A: Introduction to Data Science
Topic B: Create and Modify Tables
Topic C: Sort and Filter Data
Lesson 2: Visualizing Data with Excel
Topic A: Visualize Data with Charts
Topic B: Modify and Format Charts
Topic C: Apply Best Practices in Chart Design
Lesson 3: Analyzing Data with Formulas and Functions
Topic A: Analyze Data with Formulas and Named Ranges
Topic B: Analyze Data with Functions
Topic C: Implement Data Validation, Forms, and Controls
Topic D: Create Conditional Visualizations with Lookup Functions
Lesson 4: Analyzing Data with PivotTables
Topic A: Create a PivotTable
Topic B: Analyze PivotTable Data
Lesson 5: Presenting Visual Insights with Dashboards in Excel
Topic A: Visualize Data with PivotCharts
Topic B: Filter Data Using Slicers and Timelines
Topic C: Create a Dashboard in Excel
Lesson 6: Creating Geospatial Visualizations with Excel
Topic A: Create Map Charts in Excel
Topic B: Customize Map Charts in Excel
Lesson 7: Performing Statistical Analysis
Topic A: Visualize Trendlines and Sparklines with Excel
Topic B: Analyze Data with the Data Analysis ToolPak
Lesson 8: Getting and Transforming Data
Topic A: Connect to Data with Queries
Topic B: Clean and Combine Data
Topic C: Shape and Transform Data
Lesson 9: Modeling and Analyzing Data with Power Pivot
Topic A: Install Power Pivot in Excel
Topic B: Create Data Models with Power Pivot
Topic C: Create Power Pivots
Topic D: Perform Advanced Data Analysis and Visualization
Lesson 10: Presenting Insights with Reports
Topic A: Plan a Report
Topic B: Create a Report

Prerequisites

To ensure success, you should have baseline skill using Microsoft Excel worksheets, particularly in creating workbooks with formulas and functions.
Course-specific Technical RequirementsHardware:
For this course, you will need one computer for each student and one for the instructor. Each computer will need the following minimum hardware configurations:
1 gigahertz (GHz) 64-bit (x64) processor.
4 gigabytes (GB) of Random Access Memory (RAM).
32 GB available storage space.
Monitor capable of a screen resolution of at least 1,024 Ã 768 pixels, at least a 256-color display, and a video adapter with at least 4 MB of memory.
Bootable DVD-ROM or USB drive.
Keyboard and mouse or a compatible pointing device.
Fast Ethernet (100 Mb/s) adapter or faster and cabling to connect to the classroom network.
IP addresses that do not conflict with other portions of your network.
Internet access (contact your local network administrator).
(Instructor computer only) A display system to project the instructor's computer screen.
Software:
Microsoft® Office Professional Plus 2019 or Office 365â¢
Microsoft® Windows® 10 Professional or Enterprise

Target Student

This course is designed for students who already have foundational knowledge and skills in Excel and who wish to perform robust and advanced data and statistical analysis with Microsoft Excel using PivotTables, use tools such as Power Pivot and the Data Analysis ToolPak to analyze data, and visualize data and insights using advanced visualizations in charts and dashboards in Excel.


This course is designed for students who already have foundational knowledge and skills in Excel and who wish to perform robust and advanced data and statistical analysis with Microsoft Excel using PivotTables, use tools such as Power Pivot and the Data Analysis ToolPak to analyze data and visualize data and insights using advanced visualizations in charts and dashboards in Excel.

Data Analysis and Visualization with Microsoft Excel

London

<div>
	                  <h5>MS Power BI Course summary</h5>
	               </div>
	               <div></div>
	               <p> 
				   
							   Data Visualization Courses London. 
					   In this Power BI Course, you will learn how to translate data trends, summaries, statistics and insights from your data into powerful and inspirational Visualations
This course is ideal for managers and data analysts who need to make business descisions based on data.

					   
						<br /><br />The course duration is 1 day.

				   </p>
				   <div id="PBITaster">
	                  <h5>MS Power BI 1-Hour Taster</h5>
	               </div>
	               <div></div>
	               <p> 
				   
							   Our 1 hour Power BI taster gives an excellent summary of Power BI. Is give you the basics, so that you could decide on a full course, or teach yourself from there.
						<br />Terminology overview, Get Data, Visual Basics, Format The Visual, Change the Formulae, Add KPI's, Add Dynamic Filters, Addd the visual to a Dashboard	
						<br />Contact us for a time and date, and then the 1 hour.
						<br />
						</p>

				   <p></p>
				   
	               <div>
	                  <div>
							<h5>MS Power BI 1-day Full Course Description</h5>
	                  </div>
	                  <div></div>
 
												 
						<div>
							<strong> Introduction: </strong> 
											<p> 
							Connect to your data source and various data sources. 
							<br />Understand MS POWER BI terminology and interface. 	 
						</p>
						</div>
					   <div>
							<strong> Visuals:  </strong>  
							<p>  
								Creating visuals, 
								<br />Chart types, 
								<br />Geographic maps, 
								<br />Heat maps, 
								<br />Tree maps, 
								<br />Pie charts, 
								<br />bar charts and many other types of charts, 
								<br />Importing custom designs and custom chart types. 
								<br />Choosing suitable chart types. 
								<br />Single measures, multiple measure, 
								<br />double axes, displaying dates, drilldown, sorting visuals. 
								<br />Analysis Lines. 
								<br />Filters and slicers. 
							</p>
						</div>	
						<div>
							<strong> Formatting:  </strong>  
							<p>   
							Formatting visuals. 
							</p>
						</div>	
								 
						<div>
							<strong> Working with the data:  </strong>  
							<p>  
								Preparing data using queries.
								<br />Calculations: Create calculated columns and measures. 
								<br />Columns vs Measures. 
								<br />Quick Measures.  
							</p>
						</div>	
						<div>
							<strong> Functions:  </strong>  
							<p>  Built-in Functions for dates, maths and strings. 
								 
							</p>
						</div>
						<div>
							<strong> DAX calculations:  </strong>  
							<p>  Relationships 
								<br />DAX calculations.
								 
							</p>
						</div>		
						<div>
							<strong> Final presentation:  </strong>  
							<p>  
								Final presentation: Reports, publish reports, create dashboards
							</p>
						</div>	
 
 
 
 
	               </div>
	               <div id="cincluded">
	                  <div>
	                     <h5>What is included in the MS Power BI Courses:</h5>
	                  </div>
	                  <div>
	                     <ul>
	                        <li>MS Power BI Course Certificate on completion  </li>
	                        <li>MS Power BI Course notes</li>
	                        <li>Practical MS Power BI Course exercises, MS Power BI Course Homework / MS Power BI Course Revision work</li>
	                         
	                        <li>After the course, 1 free session for questions online MS Power BI Course via Gotomeeting.com.</li>
	                        <li>Max group size, online and in classroom, on this MS Power BI Course is 4. </li>
	                     </ul>
	                  </div>
	               </div>

MS Power BI Course 
 Data Visualization Courses London. In this Power BI Course, you will learn how to translate data trends, summaries, statistics and insights from your data into powerful and inspirational visualizations
This course is ideal for managers and data analysts who need to make business decisions based on data. 

The course duration is 1 day. 
MS Power BI 1-day Course Description
Introduction:
 Connect to your data source and various data sources. 
Understand MS POWER BI terminology and interface. 
Visuals:
 Creating visuals, 
Chart types, 
Geographic maps, 
Heat maps, 
Tree maps, 
Pie charts, 
bar charts and many other types of charts, 
Importing custom designs and custom chart types. 
Choosing suitable chart types. 
Single measures, multiple measure, 
double axes, displaying dates, drilldown, sorting visuals. 
Analysis Lines. 
Filters and slicers. 
Formatting:
 Formatting visuals. 
Working with the data:
 Preparing data using queries. 
Calculations: Create calculated columns and measures. 
Columns vs. Measures. 
Quick Measures. 
Functions:
 Built-in functions for dates, math, and strings. 
DAX calculations:
 Relationships 
DAX calculations. 
Final presentation:
 Final presentation: Reports, publish reports, create dashboards 
What is included in the MS Power BI Courses:
MS Power BI Course Certificate on completion
MS Power BI Course notes
Practical MS Power BI Course exercises, MS Power BI Course homework, and MS Power BI Course Revision work
After the course, 1 free session for questions online MS Power BI Course via Gotomeeting.com.
Max group size, online and in classroom, on this MS Power BI Course is 4.

PCWorkshops

Microsoft Power BI

Data Science

Data Visualization

Business Intelligence (BI)

Data Analyst

 Data Visualization Courses London. In this Power BI Course, you will learn how to translate data trends, summaries, statistics and insights from your data into powerful and inspirational visualizations
This course is ideal for managers and data analysts who need to make business decisions based on data.

MS POWER BI COURSE

General admission

<p><em><strong>48-Hour Knowledge Knockdown! Prices Reduced Like Never Before!</strong></em></p><p>Unlock the power of Data Analyst (Data Analytics) with our cutting-edge Data Analyst (Data Analytics) course and transform raw information into strategic insights of Data Analyst (Data Analytics) that drive success.</p><p>Get <strong>Free</strong> 1 QLS Endorsed Course <strong>with Certificate</strong> &amp; 10 Additional CPD Accredited Courses In A Single Payment.</p><p><strong>This Data Analyst (Data Analytics) Bundle Package includes:</strong></p><ul><li><strong>Course 01:</strong> Diploma in Data Analysis <strong>at QLS Level 5</strong></li></ul><p><strong>10 Additional CPD Accredited Premium Courses related to Data Analyst (Data Analytics) -</strong></p><ul><li><strong>Course 01:</strong> Data Analytics with Tableau</li><li><strong>Course 02:</strong> Data Science &amp; Machine Learning with R</li><li><strong>Course 03:</strong> Excel Pivot table for Data analytics</li><li><strong>Course 04</strong>: JavaScript Functions for Data Analyst</li><li><strong>Course 05:</strong> Data analytics with Excel</li><li><strong>Course 06:</strong> Mastering SQL Programming for Data Analyst</li><li><strong>Course 07:</strong> Google Data Studio</li><li><strong>Course 08:</strong> Business Intelligence and Data Mining for Data Analyst</li><li><strong>Course 09:</strong> GDPR Training</li><li><strong>Course 10:</strong> Learn Programming with Python</li></ul><p><strong>Learning outcome of this Data Analyst (Data Analytics) Bundle:</strong></p><ul><li>Apply data analyst techniques to modify worksheets effectively.</li><li>Utilise data analyst strategies for working with lists.</li><li>Demonstrate proficiency in analyzing data as a data analyst.</li><li>Visualize data using charts as a data analyst.</li><li>Employ PivotTables and Pivot Charts for complex Data Analyst</li><li>Manage multiple worksheets and workbooks efficiently as a data analyst.</li><li>Use lookup functions and formula auditing for accurate Data Analyst</li></ul> <p><strong>Why Prefer This Data Analyst (Data Analytics) Bundle?</strong></p><ul><li>FREE certificate on Data Analyst (Data Analytics)accredited by <strong>CPDQS</strong></li><li>Get instant access to this Data Analyst (Data Analytics) course.</li><li>Learn Data Analyst (Data Analytics) from anywhere in the world</li><li>Data Analyst (Data Analytics) is affordable and simple to understand</li><li>Data Analyst (Data Analytics) is an entirely online, interactive lesson with voiceover audio</li><li>Lifetime access to the Data Analyst (Data Analytics) bundle materials</li><li>Data Analyst (Data Analytics) comes with 24/7 tutor support</li><li>Free assessments available with Data Analyst (Data Analytics)</li><li>Get a <strong>free student ID card!</strong> with Data Analyst (Data Analytics)</li></ul><p><strong>Assessment Process of Data Analyst (Data Analytics) Course:</strong></p><p>You have to complete the assignment questions given at the end of the Data Analyst (Data Analytics) course and score a minimum of 60% to pass each exam, after that you can claim your certificate</p> <h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        100 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div> <h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <p>This course is for whoever wishes to gain a better understanding of Data Analyst (Data Analytics)</p>
                        </div> <h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>You will not need any prior background or expertise to take this Data Analyst (Data Analytics)</p>
                        </div> <h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <ul><li>Data Analyst</li><li>Retail Data Analyst</li><li>Statistical Data Analyst</li></ul>
                        </div> <h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>CPD Accredited e-Certificate</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>Diploma in Data Analysis at QLS Level 5</h4>
        <p>
            Hard copy certificate -
            Included
        </p>

                        </div>

48-Hour Knowledge Knockdown! Prices Reduced Like Never Before!
Unlock the power of Data Analyst (Data Analytics) with our cutting-edge Data Analyst (Data Analytics) course and transform raw information into strategic insights of Data Analyst (Data Analytics) that drive success.
Get Free 1 QLS Endorsed Course with Certificate & 10 Additional CPD Accredited Courses In A Single Payment.
This Data Analyst (Data Analytics) Bundle Package includes:
Course 01: Diploma in Data Analysis at QLS Level 5
10 Additional CPD Accredited Premium Courses related to Data Analyst (Data Analytics) -
Course 01: Data Analytics with Tableau
Course 02: Data Science & Machine Learning with R
Course 03: Excel Pivot table for Data analytics
Course 04: JavaScript Functions for Data Analyst
Course 05: Data analytics with Excel
Course 06: Mastering SQL Programming for Data Analyst
Course 07: Google Data Studio
Course 08: Business Intelligence and Data Mining for Data Analyst
Course 09: GDPR Training
Course 10: Learn Programming with Python
Learning outcome of this Data Analyst (Data Analytics) Bundle:
Apply data analyst techniques to modify worksheets effectively.
Utilise data analyst strategies for working with lists.
Demonstrate proficiency in analyzing data as a data analyst.
Visualize data using charts as a data analyst.
Employ PivotTables and Pivot Charts for complex Data Analyst
Manage multiple worksheets and workbooks efficiently as a data analyst.
Use lookup functions and formula auditing for accurate Data Analyst
Why Prefer This Data Analyst (Data Analytics) Bundle?
FREE certificate on Data Analyst (Data Analytics)accredited by CPDQS
Get instant access to this Data Analyst (Data Analytics) course.
Learn Data Analyst (Data Analytics) from anywhere in the world
Data Analyst (Data Analytics) is affordable and simple to understand
Data Analyst (Data Analytics) is an entirely online, interactive lesson with voiceover audio
Lifetime access to the Data Analyst (Data Analytics) bundle materials
Data Analyst (Data Analytics) comes with 24/7 tutor support
Free assessments available with Data Analyst (Data Analytics)
Get a free student ID card! with Data Analyst (Data Analytics)
Assessment Process of Data Analyst (Data Analytics) Course:
You have to complete the assignment questions given at the end of the Data Analyst (Data Analytics) course and score a minimum of 60% to pass each exam, after that you can claim your certificate
 CPD 
100 CPD hours / points  Accredited by CPD Quality Standards
 Who is this course for? 
This course is for whoever wishes to gain a better understanding of Data Analyst (Data Analytics)
 Requirements 
You will not need any prior background or expertise to take this Data Analyst (Data Analytics)
 Career path 
Data Analyst
Retail Data Analyst
Statistical Data Analyst
 Certificates 
CPD Accredited e-Certificate
 Digital certificate - Included 
Diploma in Data Analysis at QLS Level 5
 Hard copy certificate - Included 

Academy for Health and Fitness

Business Analytics & Intelligence

Big Data Analytics

Diploma in Management Studies (DMS)

Data Skills

Data Analyst (Data Analytics) Endorsed Diploma

<p>Feeling Stuck in Your Career? The Data Analyst (Data Analytics) Bundle is Your Skill-Building Solution. This exceptional collection of <strong>30 premium courses</strong> is designed to encourage growth and improve your career opportunities. Suited to meet different interests and goals, the Data Analyst-(Data Analytics) bundle provides an engaging learning experience, helping you learn skills across various disciplines.</p><p>With the Data Analyst (Data Analytics) Bundle, you'll have a personalised journey that aligns with your career goals and interests. This comprehensive package helps you confidently tackle new challenges, whether entering a new field or enhancing your existing knowledge. The Data Analyst-(Data Analytics) bundle is your gateway to expanding your career options, increasing job demand, and enhancing your skill set.</p><p>By enrolling in this bundle, you'll receive complimentary PDF certificates for all courses, adding value to your resume at no extra cost. Develop key skills and achieve important progress in your career and personal development. Start your journey today and experience the transformative impact of the Data Analyst-(Data Analytics) bundle on your job life and career growth!</p><p><strong>This Data Analyst (Data Analytics) </strong><strong>Bundle Comprises the Following CPD Accredited Courses:</strong></p><ul><li><strong>Course 01</strong>: Basic Data Analysis</li><li><strong>Course 02</strong>: Business Data Analysis</li><li><strong>Course 03</strong>: Introduction to Data Analytics with Tableau</li><li><strong>Course 04</strong>: Google Data Studio: Data Analytics</li><li><strong>Course 05</strong>: SQL Database Basics for Everyone</li><li><strong>Course 06</strong>: R Programming for Data Science</li><li><strong>Course 07</strong>: 2021 Data Science &amp; Machine Learning with R from A-Z</li><li><strong>Course 08</strong>: Learn Python, JavaScript, and Microsoft SQL for Data Science</li><li><strong>Course 09</strong>: Spatial Data Visualisation and Machine Learning in Python</li><li><strong>Course 10</strong>: Building Big Data Pipelines with PySpark MongoDB and Bokeh</li><li><strong>Course 11</strong>: Complete Python Machine Learning &amp; Data Science Fundamentals</li><li><strong>Course 12</strong>: Clinical Data Management with SAS Programming</li><li><strong>Course 13</strong>: Certificate in Data Entry and Management</li><li><strong>Course 14</strong>: Quick Data Science Approach from Scratch</li><li><strong>Course 15</strong>: Web Mapping and Data Visualizations</li><li><strong>Course 16</strong>: Programming AutoCAD with SQL Server Database Using C#</li><li><strong>Course 17</strong>: Big Data Analytics with PySpark Power BI and MongoDB</li><li><strong>Course 18</strong>: Develop Big Data Pipelines with R &amp; Sparklyr &amp; Tableau</li><li><strong>Course 19</strong>: Develop Big Data Pipelines with R, Sparklyr &amp; Power BI</li><li><strong>Course 20</strong>: Data Center Training Essentials: Power &amp; Electrical</li><li><strong>Course 21</strong>: Business Intelligence and Data Mining</li><li><strong>Course 22</strong>: Set Menu Prices for your restaurant using data</li><li><strong>Course 23</strong>: Data Analysis In Excel</li><li><strong>Course 24</strong>: Data Protection</li><li><strong>Course 25</strong>: Reporting and Data</li><li><strong>Course 26</strong>: Career Development Plan Fundamentals</li><li><strong>Course 27</strong>: CV Writing and Job Searching</li><li><strong>Course 28</strong>: Learn to Level Up Your Leadership</li><li><strong>Course 29</strong>: Networking Skills for Personal Success</li><li><strong>Course 30</strong>: Ace Your Presentations: Public Speaking Masterclass</li></ul><p><strong>What will make you stand out?</strong></p><p>Upon completion of this online Data Analyst (Data Analytics) Bundle, you will gain the following:</p><ul><li>CPD QS Accredited Proficiency with this Data Analyst-(Data Analytics) bundle</li><li>After successfully completing the Data Analyst-(Data Analytics) bundle, you will receive a FREE PDF Certificate from REED as evidence of your newly acquired abilities.</li><li>Lifetime access to the whole collection of learning materials of this Data Analyst-(Data Analytics) bundle</li><li>The online test with immediate results</li><li>You can study and complete the Data Analyst-(Data Analytics) bundle at your own pace.</li><li>Study for the Data Analyst-(Data Analytics) bundle using any internet-connected device, such as a computer, tablet, or mobile device.</li></ul><p>The Data Analyst (Data Analytics) bundle is a premier learning resource, with each course module holding respected CPD accreditation, symbolising exceptional quality. The content is packed with knowledge and is regularly updated to ensure it remains relevant. This bundle offers not just education but a constantly improving learning experience designed to enrich both your personal and professional development.</p><p>Advance the future of learning with the Data Analyst-(Data Analytics) <strong>bundle</strong>, a comprehensive, complete collection of 30 courses. Each course in the Data Analyst-(Data Analytics) bundle has been handpicked by our experts to provide a broad range of learning opportunities. Together, these modules form an important and well-rounded learning experience.</p><p>Our mission is to deliver high-quality, accessible education for everyone. Whether you are starting your career, switching industries, or enhancing your professional skills, the Data Analyst-(Data Analytics) bundle offers the flexibility and convenience to learn at your own pace. Make the Data Analyst-(Data Analytics) package your trusted partner in your lifelong learning journey.</p><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        300 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div><h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <p>The Data Analyst (Data Analytics) bundle is perfect for:</p><ul><li>Expand your knowledge and skillset for a fulfilling career with the Data Analyst-(Data Analytics) bundle.</li><li>Become a more valuable professional by earning CPD certification and mastering in-demand skills with the Data Analyst-(Data Analytics) bundle.</li><li>Discover your passion or explore new career options with the diverse learning opportunities in the Data Analyst-(Data Analytics) bundle.</li><li>Learn on your schedule, in the comfort of your home - the Data Analyst-(Data Analytics) bundle offers ultimate flexibility for busy individuals.</li></ul>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>You are warmly invited to register for this bundle. Please be aware that no formal entry requirements or qualifications are necessary. This curriculum has been crafted to be open to everyone, regardless of previous experience or educational attainment.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>Gain a wide range of skills across various fields, improve your problem-solving capabilities, and keep current with industry trends. Perfect for those aiming for career advancement, exploring a new professional direction, or pursuing personal growth. Begin your journey with the Data Analyst (Data Analytics) bundle.</p>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>CPD Certificates</h4>
        <p>
            Digital certificate -
            Included
        </p>

                        </div>

Feeling Stuck in Your Career? The Data Analyst (Data Analytics) Bundle is Your Skill-Building Solution. This exceptional collection of 30 premium courses is designed to encourage growth and improve your career opportunities. Suited to meet different interests and goals, the Data Analyst-(Data Analytics) bundle provides an engaging learning experience, helping you learn skills across various disciplines.
With the Data Analyst (Data Analytics) Bundle, you'll have a personalised journey that aligns with your career goals and interests. This comprehensive package helps you confidently tackle new challenges, whether entering a new field or enhancing your existing knowledge. The Data Analyst-(Data Analytics) bundle is your gateway to expanding your career options, increasing job demand, and enhancing your skill set.
By enrolling in this bundle, you'll receive complimentary PDF certificates for all courses, adding value to your resume at no extra cost. Develop key skills and achieve important progress in your career and personal development. Start your journey today and experience the transformative impact of the Data Analyst-(Data Analytics) bundle on your job life and career growth!
This Data Analyst (Data Analytics) Bundle Comprises the Following CPD Accredited Courses:
Course 01: Basic Data Analysis
Course 02: Business Data Analysis
Course 03: Introduction to Data Analytics with Tableau
Course 04: Google Data Studio: Data Analytics
Course 05: SQL Database Basics for Everyone
Course 06: R Programming for Data Science
Course 07: 2021 Data Science & Machine Learning with R from A-Z
Course 08: Learn Python, JavaScript, and Microsoft SQL for Data Science
Course 09: Spatial Data Visualisation and Machine Learning in Python
Course 10: Building Big Data Pipelines with PySpark MongoDB and Bokeh
Course 11: Complete Python Machine Learning & Data Science Fundamentals
Course 12: Clinical Data Management with SAS Programming
Course 13: Certificate in Data Entry and Management
Course 14: Quick Data Science Approach from Scratch
Course 15: Web Mapping and Data Visualizations
Course 16: Programming AutoCAD with SQL Server Database Using C#
Course 17: Big Data Analytics with PySpark Power BI and MongoDB
Course 18: Develop Big Data Pipelines with R & Sparklyr & Tableau
Course 19: Develop Big Data Pipelines with R, Sparklyr & Power BI
Course 20: Data Center Training Essentials: Power & Electrical
Course 21: Business Intelligence and Data Mining
Course 22: Set Menu Prices for your restaurant using data
Course 23: Data Analysis In Excel
Course 24: Data Protection
Course 25: Reporting and Data
Course 26: Career Development Plan Fundamentals
Course 27: CV Writing and Job Searching
Course 28: Learn to Level Up Your Leadership
Course 29: Networking Skills for Personal Success
Course 30: Ace Your Presentations: Public Speaking Masterclass
What will make you stand out?
Upon completion of this online Data Analyst (Data Analytics) Bundle, you will gain the following:
CPD QS Accredited Proficiency with this Data Analyst-(Data Analytics) bundle
After successfully completing the Data Analyst-(Data Analytics) bundle, you will receive a FREE PDF Certificate from REED as evidence of your newly acquired abilities.
Lifetime access to the whole collection of learning materials of this Data Analyst-(Data Analytics) bundle
The online test with immediate results
You can study and complete the Data Analyst-(Data Analytics) bundle at your own pace.
Study for the Data Analyst-(Data Analytics) bundle using any internet-connected device, such as a computer, tablet, or mobile device.
The Data Analyst (Data Analytics) bundle is a premier learning resource, with each course module holding respected CPD accreditation, symbolising exceptional quality. The content is packed with knowledge and is regularly updated to ensure it remains relevant. This bundle offers not just education but a constantly improving learning experience designed to enrich both your personal and professional development.
Advance the future of learning with the Data Analyst-(Data Analytics) bundle, a comprehensive, complete collection of 30 courses. Each course in the Data Analyst-(Data Analytics) bundle has been handpicked by our experts to provide a broad range of learning opportunities. Together, these modules form an important and well-rounded learning experience.
Our mission is to deliver high-quality, accessible education for everyone. Whether you are starting your career, switching industries, or enhancing your professional skills, the Data Analyst-(Data Analytics) bundle offers the flexibility and convenience to learn at your own pace. Make the Data Analyst-(Data Analytics) package your trusted partner in your lifelong learning journey.
 CPD 
300 CPD hours / points  Accredited by CPD Quality Standards
 Who is this course for? 
The Data Analyst (Data Analytics) bundle is perfect for:
Expand your knowledge and skillset for a fulfilling career with the Data Analyst-(Data Analytics) bundle.
Become a more valuable professional by earning CPD certification and mastering in-demand skills with the Data Analyst-(Data Analytics) bundle.
Discover your passion or explore new career options with the diverse learning opportunities in the Data Analyst-(Data Analytics) bundle.
Learn on your schedule, in the comfort of your home - the Data Analyst-(Data Analytics) bundle offers ultimate flexibility for busy individuals.
 Requirements 
You are warmly invited to register for this bundle. Please be aware that no formal entry requirements or qualifications are necessary. This curriculum has been crafted to be open to everyone, regardless of previous experience or educational attainment.
 Career path 
Gain a wide range of skills across various fields, improve your problem-solving capabilities, and keep current with industry trends. Perfect for those aiming for career advancement, exploring a new professional direction, or pursuing personal growth. Begin your journey with the Data Analyst (Data Analytics) bundle.
 Certificates 
CPD Certificates
 Digital certificate - Included 

Compliance Central

Continuous Professional Development (CPD)

Data Analyst (Data Analytics) - 30 CPD Courses!

<p><strong>** Enjoy an EXCLUSIVE 20% OFF. GET the QLS-Endorsed course for ONLY £119 **</strong></p><p>Do you have an excellent head for numbers, a keen mind, and an insatiable desire to learn? A career as a data analyst may be ideal for you. Data analysts transform raw numerical and statistical information into knowledge that can be applied to problem-solving and keeping tabs on corporate operations. They analyse data to create readable charts, tables, and reports.</p><p>This Data Analyst Bundle has all the necessary topics covered so that you shine in your career. So, ENROL NOW.</p><p><strong>Learning Outcome</strong></p><ul><li>Learn the fundamentals of business process management in detail</li><li>Enhance the skills and knowledge required to use data to drive business improvement</li><li>Explore the best Data analyst tools and processes</li><li>Learn the procedures to create a Pareto chart in Excel</li><li>Get excellent tips from experts on how to present your performance data</li><li>Have a better understanding of the properties of histograms and how to interpret one</li><li>Discover the numerous metrics of variability used in Data analyst</li><li>Be competent in using the consumer's voice to improve the customer experience</li></ul><p><strong>QLS Endorsed Course:</strong></p><ul><li>Course 01: Data Analysis In Excel at QLS Level 5</li></ul><p><strong>â </strong><strong>11 FREE CPD Courses </strong><strong>â</strong></p><ul><li>Course 01: Financial Modelling Using Excel</li><li>Course 02: Excel spreadsheet for Beginner</li><li>Course 03: VLOOKUP: Master Excel Formula VLOOKUP</li><li>Course 04: Microsoft Excel: Master Power Query in 120 Minutes!</li><li>Course 05: Excel Add-in with C# VSTO and Web</li><li>Course 06: The Complete Microsoft Outlook Masterclass</li><li>Course 07: Microsoft Access Tables and Queries</li><li>Course 08: Microsoft Teams for Managers</li><li>Course 09: Touch Typing Essentials</li><li>Course 10: Time Management</li><li>Course 11: Certificate in CV Writing and Interview Skills</li></ul><p>Excel data analysis and financial modelling, VLOOKUP, C# VSTO, Microsoft Outlook, Microsoft Access tables and queries, and Microsoft Teams for Managers are the highlights of the topics covered in the 14 courses included in the Bundle. As a bonus, you'll learn to maximise your time and do twice as much. What's more, you'll learn how to make the most of your influence at work. Finally, we discuss the importance of perfecting your interview skills and providing a well-written resume to land the positions of your dreams.</p><p><strong>Course Curriculum:</strong></p><p><strong>Data Analysis In Excel at QLS Level 5</strong></p><ul><li>Module 01: Introduction</li><li>Module 02: Agenda and Principles of Process Management</li><li>Module 03: The Voice of the Process</li><li>Module 04: Working as One Team for Improvement</li><li>Module 05: Exercise: The Voice of the Customer</li><li>Module 06: Tools for Data Analysis</li><li>Module 07: The Pareto Chart</li><li>Module 08: The Histogram</li><li>Module 09: The Run Chart</li><li>Module 10: Exercise: Presenting Performance Data</li><li>Module 11: Understanding Variation</li><li>Module 12: The Control Chart</li><li>Module 13: Control Chart Example</li><li>Module 14: Control Chart Special Cases</li><li>Module 15: Interpreting the Control Chart</li><li>Module 16: Control Chart Exercise</li><li>Module 17: Strategies to Deal with Variation</li><li>Module 18: Using Data to Drive Improvement</li><li>Module 19: A Structure for Performance Measurement</li><li>Module 20: Data Analysis Exercise</li><li>Module 21: Course Project</li><li>Module 22: Test your Understanding</li></ul><p><strong>------- 11 Additional FREE CPD Courses --------</strong></p><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        150 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div><h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <p>This Data Analyst course will be a great source of knowledge for you to improve your existing aptitudes and wisdom and take them to the next level.</p><p><strong>Disclaimer</strong></p><p>This Data Analyst course has been endorsed by the <strong>Quality Licence Scheme</strong> for its high-quality, non-regulated provision and training programmes. Ofqual does not regulate this course and is not an accredited qualification. One Education will be able to advise you on any further recognition. For details, please visit the Learner FAQs on the Quality Licence Scheme website.</p><p>Imperial Academy is an approved reselling partner for Quality Licence Scheme courses under One Education.</p>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>Anyone can enrol in this Data Analyst course.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <ul><li>Data Analyst: £20,000 - £50,000 per year</li><li>Business Analyst: £25,000 - £70,000 per year</li><li>Data Scientist: £30,000 - £90,000 per year</li><li>Data Engineer: £35,000 - £85,000 per year</li><li>Machine Learning Engineer: £40,000 - £100,000 per year</li><li>Business Intelligence Analyst: £30,000 - £70,000 per year</li><li>Big Data Engineer: £50,000 - £100,000 per year</li><li>Chief Data Officer: £80,000 - £200,000 per year</li></ul>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4> Hard Copy QLS Certificate</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
        <h4>PDF Certificate</h4>
        <p>
            Digital certificate -
            Included
        </p>

                        </div>

** Enjoy an EXCLUSIVE 20% OFF. GET the QLS-Endorsed course for ONLY £119 **
Do you have an excellent head for numbers, a keen mind, and an insatiable desire to learn? A career as a data analyst may be ideal for you. Data analysts transform raw numerical and statistical information into knowledge that can be applied to problem-solving and keeping tabs on corporate operations. They analyse data to create readable charts, tables, and reports.
This Data Analyst Bundle has all the necessary topics covered so that you shine in your career. So, ENROL NOW.
Learning Outcome
Learn the fundamentals of business process management in detail
Enhance the skills and knowledge required to use data to drive business improvement
Explore the best Data analyst tools and processes
Learn the procedures to create a Pareto chart in Excel
Get excellent tips from experts on how to present your performance data
Have a better understanding of the properties of histograms and how to interpret one
Discover the numerous metrics of variability used in Data analyst
Be competent in using the consumer's voice to improve the customer experience
QLS Endorsed Course:
Course 01: Data Analysis In Excel at QLS Level 5
â 11 FREE CPD Courses â
Course 01: Financial Modelling Using Excel
Course 02: Excel spreadsheet for Beginner
Course 03: VLOOKUP: Master Excel Formula VLOOKUP
Course 04: Microsoft Excel: Master Power Query in 120 Minutes!
Course 05: Excel Add-in with C# VSTO and Web
Course 06: The Complete Microsoft Outlook Masterclass
Course 07: Microsoft Access Tables and Queries
Course 08: Microsoft Teams for Managers
Course 09: Touch Typing Essentials
Course 10: Time Management
Course 11: Certificate in CV Writing and Interview Skills
Excel data analysis and financial modelling, VLOOKUP, C# VSTO, Microsoft Outlook, Microsoft Access tables and queries, and Microsoft Teams for Managers are the highlights of the topics covered in the 14 courses included in the Bundle. As a bonus, you'll learn to maximise your time and do twice as much. What's more, you'll learn how to make the most of your influence at work. Finally, we discuss the importance of perfecting your interview skills and providing a well-written resume to land the positions of your dreams.
Course Curriculum:
Data Analysis In Excel at QLS Level 5
Module 01: Introduction
Module 02: Agenda and Principles of Process Management
Module 03: The Voice of the Process
Module 04: Working as One Team for Improvement
Module 05: Exercise: The Voice of the Customer
Module 06: Tools for Data Analysis
Module 07: The Pareto Chart
Module 08: The Histogram
Module 09: The Run Chart
Module 10: Exercise: Presenting Performance Data
Module 11: Understanding Variation
Module 12: The Control Chart
Module 13: Control Chart Example
Module 14: Control Chart Special Cases
Module 15: Interpreting the Control Chart
Module 16: Control Chart Exercise
Module 17: Strategies to Deal with Variation
Module 18: Using Data to Drive Improvement
Module 19: A Structure for Performance Measurement
Module 20: Data Analysis Exercise
Module 21: Course Project
Module 22: Test your Understanding
------- 11 Additional FREE CPD Courses --------
 CPD 
150 CPD hours / points  Accredited by CPD Quality Standards
 Who is this course for? 
This Data Analyst course will be a great source of knowledge for you to improve your existing aptitudes and wisdom and take them to the next level.
Disclaimer
This Data Analyst course has been endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. Ofqual does not regulate this course and is not an accredited qualification. One Education will be able to advise you on any further recognition. For details, please visit the Learner FAQs on the Quality Licence Scheme website.
Imperial Academy is an approved reselling partner for Quality Licence Scheme courses under One Education.
 Requirements 
Anyone can enrol in this Data Analyst course.
 Career path 
Data Analyst: £20,000 - £50,000 per year
Business Analyst: £25,000 - £70,000 per year
Data Scientist: £30,000 - £90,000 per year
Data Engineer: £35,000 - £85,000 per year
Machine Learning Engineer: £40,000 - £100,000 per year
Business Intelligence Analyst: £30,000 - £70,000 per year
Big Data Engineer: £50,000 - £100,000 per year
Chief Data Officer: £80,000 - £200,000 per year
 Certificates 
Hard Copy QLS Certificate
 Hard copy certificate - Included 
PDF Certificate
 Digital certificate - Included 

Imperial Academy

Level 5 QLS Diploma | Free QLS Endorsed Certificate | 11 FREE CPD Courses & PDF Certificates | Tutor Support

Data Analyst Training

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Get ready for an exceptional online learning experience with the <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Analyst (Data Analytics)</strong>bundle! This carefully curated collection of<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"> 30 premium courses</strong> is designed to cater to a variety of interests and disciplines. Dive into a sea of knowledge and skills, tailoring your learning journey to suit your unique aspirations.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The Data Analyst (Analytics) is a dynamic package, blending the expertise of industry professionals with the flexibility of digital learning. It offers the perfect balance of foundational understanding and advanced insights. Whether you&#39;re looking to break into a new field or deepen your existing knowledge, the<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"> Data Analyst (Analytics) </strong>package has something for everyone.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">As part of the Data Analyst (Analytics) package, you will receive complimentary PDF certificates for all courses in this bundle at no extra cost. Equip yourself with the Data Analyst (Analytics) bundle to confidently navigate your career path or personal development journey. Enrol today and start your career growth!</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">This Bundle Comprises the Following </strong><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Analyst (Data Analytics)</strong><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">CPD Accredited Courses:</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 01</strong>: Basic Data Analysis</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 02</strong>: Business Data Analysis</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 03</strong>: Introduction to Data Analytics with Tableau</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 04</strong>: Google Data Studio: Data Analytics</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 05</strong>: SQL Database Basics for Everyone</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 06</strong>: R Programming for Data Science</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 07</strong>: 2021 Data Science &amp; Machine Learning with R from A-Z</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 08</strong>: Learn Python, JavaScript, and Microsoft SQL for Data science</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 09</strong>: Spatial Data Visualisation and Machine Learning in Python</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 10</strong>: Building Big Data Pipelines with PySpark MongoDB and Bokeh</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 11</strong>: Complete Python Machine Learning &amp; Data Science Fundamentals</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 12</strong>: Clinical Data Management with SAS Programming</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 13</strong>: Certificate in Data Entry and Management</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 14</strong>: Quick Data Science Approach from Scratch</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 15</strong>: Web Mapping and Data Visualizations</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 16</strong>: Programming AutoCAD with SQL Server Database Using C#</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 17</strong>: Big Data Analytics with PySpark Power BI and MongoDB</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 18</strong>: Develop Big Data Pipelines with R &amp; Sparklyr &amp; Tableau</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 19</strong>: Develop Big Data Pipelines with R, Sparklyr &amp; Power BI</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 20</strong>: Data Center Training Essentials: Power &amp; Electrical</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 21</strong>: Business Intelligence and Data Mining</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 22</strong>: Set Menu Prices for your restaurant using data</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 23</strong>: Data Analysis In Excel</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 24</strong>: Data Protection</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 25</strong>: Reporting and Data</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 26</strong>: Career Development Plan Fundamentals</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 27</strong>: CV Writing and Job Searching</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 28</strong>: Networking Skills for Personal Success</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 29</strong>: Excel: Top 50 Microsoft Excel Formulas in 50 Minutes!</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 30</strong>: Decision Making and Critical Thinking</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">What will make you stand out?</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Upon completion of this online Data Analyst (Data Analytics) bundle, you will gain the following:</p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">CPD QS Accredited Proficiency with this  <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Analyst (Analytics)</strong> bundle </li><li fr-original-style="" style="box-sizing: border-box;">After successfully completing the Data Analyst (Analytics) &nbsp;bundle, you will receive a FREE CPD PDF Certificates as evidence of your newly acquired abilities.</li><li fr-original-style="" style="box-sizing: border-box;">Lifetime access to the whole collection of learning materials of this <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Analyst (Analytics)</strong> bundle</li><li fr-original-style="" style="box-sizing: border-box;">The online test with immediate results </li><li fr-original-style="" style="box-sizing: border-box;">You can study and complete the Data Analyst (Analytics) bundle at your own pace.</li><li fr-original-style="" style="box-sizing: border-box;">Study for the Data Analyst (Analytics) bundle using any internet-connected device, such as a computer, tablet, or mobile device.</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Each course in this Data Analyst (Analytics) bundle holds a prestigious CPD accreditation, symbolising exceptional quality. The materials, brimming with knowledge, are regularly updated, ensuring their relevance. This bundle promises not just education but an evolving learning experience. Engage with this extraordinary collection, and prepare to enrich your personal and professional development.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Embrace the future of learning with the Data Analyst (Analytics), a rich anthology of 30 diverse courses. Each course in the <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Analyst (Analytics)</strong> bundle is handpicked by our experts to ensure a wide spectrum of learning opportunities. ThisData Analyst (Analytics) bundle will take you on a unique and enriching educational journey.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The bundle encapsulates our mission to provide quality, accessible education for all. Whether you are just starting your career, looking to switch industries, or hoping to enhance your professional skill set, the Data Analyst (Analytics) bundle offers you the flexibility and convenience to learn at your own pace. Make the Data Analyst (Data Analytics) package your trusted companion in your lifelong learning journey.</p><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">CPD</div>
    </h2>

                        <div id="cpd" fr-original-style="" style="box-sizing: border-box;">
                            <div fr-original-style="" style="box-sizing: border-box;">
                                <div fr-original-style="" style="box-sizing: border-box;">
                                    <div fr-original-style="" style="box-sizing: border-box;">
                                        300 CPD hours / points
                                    </div>
                                        <div fr-original-style="" style="box-sizing: border-box;">
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for" fr-original-style="" style="box-sizing: border-box;">
                            <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Analyst (Data Analytics)</strong> bundle is perfect for:</p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Lifelong learners looking to expand their knowledge and skills.</li><li fr-original-style="" style="box-sizing: border-box;">Professionals seeking to enhance their career with CPD certification.</li><li fr-original-style="" style="box-sizing: border-box;">Individuals wanting to explore new fields and disciplines.</li><li fr-original-style="" style="box-sizing: border-box;">Anyone who values flexible, self-paced learning from the comfort of home.</li></ul>
                        </div><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">Requirements</div>
    </h2>

                        <div id="requirements" fr-original-style="" style="box-sizing: border-box;">
                            <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">You are cordially invited to enroll in this bundle; please note that there are no formal prerequisites or qualifications required. We&#39;ve designed this curriculum to be accessible to all, irrespective of prior experience or educational background.</p>
                        </div><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">Career path</div>
    </h2>

                        <div id="career_path" fr-original-style="" style="box-sizing: border-box;">
                            <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Unleash your potential with the <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Analyst (Data Analytics) </strong>bundle. Acquire versatile skills across multiple fields, foster problem-solving abilities, and stay ahead of industry trends. Ideal for those seeking career advancement, a new professional path, or personal growth. Embrace the journey with the <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Analyst (Analytics)</strong>bundle package.</p>
                        </div><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">Certificates</div>
    </h2>

                        <div id="optional_extras" fr-original-style="" style="box-sizing: border-box;">
                                    <h4 fr-original-style="" style="box-sizing: border-box;">CPD Quality Standard Certificate</h4>
        <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">
            Digital certificate -
            Included
        </p>
            <div fr-original-style="" style="box-sizing: border-box;"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">30 CPD Quality Standard Certificates - Free</p></div>

                        </div>

Get ready for an exceptional online learning experience with the Data Analyst (Data Analytics)bundle! This carefully curated collection of 30 premium courses is designed to cater to a variety of interests and disciplines. Dive into a sea of knowledge and skills, tailoring your learning journey to suit your unique aspirations.
The Data Analyst (Analytics) is a dynamic package, blending the expertise of industry professionals with the flexibility of digital learning. It offers the perfect balance of foundational understanding and advanced insights. Whether you're looking to break into a new field or deepen your existing knowledge, the Data Analyst (Analytics) package has something for everyone.
As part of the Data Analyst (Analytics) package, you will receive complimentary PDF certificates for all courses in this bundle at no extra cost. Equip yourself with the Data Analyst (Analytics) bundle to confidently navigate your career path or personal development journey. Enrol today and start your career growth!
This Bundle Comprises the Following Data Analyst (Data Analytics)CPD Accredited Courses:
Course 01: Basic Data Analysis
Course 02: Business Data Analysis
Course 03: Introduction to Data Analytics with Tableau
Course 04: Google Data Studio: Data Analytics
Course 05: SQL Database Basics for Everyone
Course 06: R Programming for Data Science
Course 07: 2021 Data Science & Machine Learning with R from A-Z
Course 08: Learn Python, JavaScript, and Microsoft SQL for Data science
Course 09: Spatial Data Visualisation and Machine Learning in Python
Course 10: Building Big Data Pipelines with PySpark MongoDB and Bokeh
Course 11: Complete Python Machine Learning & Data Science Fundamentals
Course 12: Clinical Data Management with SAS Programming
Course 13: Certificate in Data Entry and Management
Course 14: Quick Data Science Approach from Scratch
Course 15: Web Mapping and Data Visualizations
Course 16: Programming AutoCAD with SQL Server Database Using C#
Course 17: Big Data Analytics with PySpark Power BI and MongoDB
Course 18: Develop Big Data Pipelines with R & Sparklyr & Tableau
Course 19: Develop Big Data Pipelines with R, Sparklyr & Power BI
Course 20: Data Center Training Essentials: Power & Electrical
Course 21: Business Intelligence and Data Mining
Course 22: Set Menu Prices for your restaurant using data
Course 23: Data Analysis In Excel
Course 24: Data Protection
Course 25: Reporting and Data
Course 26: Career Development Plan Fundamentals
Course 27: CV Writing and Job Searching
Course 28: Networking Skills for Personal Success
Course 29: Excel: Top 50 Microsoft Excel Formulas in 50 Minutes!
Course 30: Decision Making and Critical Thinking
What will make you stand out?
Upon completion of this online Data Analyst (Data Analytics) bundle, you will gain the following:
CPD QS Accredited Proficiency with this Data Analyst (Analytics) bundle
After successfully completing the Data Analyst (Analytics) bundle, you will receive a FREE CPD PDF Certificates as evidence of your newly acquired abilities.
Lifetime access to the whole collection of learning materials of this Data Analyst (Analytics) bundle
The online test with immediate results
You can study and complete the Data Analyst (Analytics) bundle at your own pace.
Study for the Data Analyst (Analytics) bundle using any internet-connected device, such as a computer, tablet, or mobile device.
Each course in this Data Analyst (Analytics) bundle holds a prestigious CPD accreditation, symbolising exceptional quality. The materials, brimming with knowledge, are regularly updated, ensuring their relevance. This bundle promises not just education but an evolving learning experience. Engage with this extraordinary collection, and prepare to enrich your personal and professional development.
Embrace the future of learning with the Data Analyst (Analytics), a rich anthology of 30 diverse courses. Each course in the Data Analyst (Analytics) bundle is handpicked by our experts to ensure a wide spectrum of learning opportunities. ThisData Analyst (Analytics) bundle will take you on a unique and enriching educational journey.
The bundle encapsulates our mission to provide quality, accessible education for all. Whether you are just starting your career, looking to switch industries, or hoping to enhance your professional skill set, the Data Analyst (Analytics) bundle offers you the flexibility and convenience to learn at your own pace. Make the Data Analyst (Data Analytics) package your trusted companion in your lifelong learning journey.
 CPD 
300 CPD hours / points  Accredited by CPD Quality Standards
 Who is this course for? 
The Data Analyst (Data Analytics) bundle is perfect for:
Lifelong learners looking to expand their knowledge and skills.
Professionals seeking to enhance their career with CPD certification.
Individuals wanting to explore new fields and disciplines.
Anyone who values flexible, self-paced learning from the comfort of home.
 Requirements 
You are cordially invited to enroll in this bundle; please note that there are no formal prerequisites or qualifications required. We've designed this curriculum to be accessible to all, irrespective of prior experience or educational background.
 Career path 
Unleash your potential with the Data Analyst (Data Analytics) bundle. Acquire versatile skills across multiple fields, foster problem-solving abilities, and stay ahead of industry trends. Ideal for those seeking career advancement, a new professional path, or personal growth. Embrace the journey with the Data Analyst (Analytics)bundle package.
 Certificates 
CPD Quality Standard Certificate
 Digital certificate - Included 
30 CPD Quality Standard Certificates - Free

NextGen Learning

<p><strong>Get Hard Copy + PDF Certificates + Transcript + Student ID Card worth £180 as a Gift-Enrol Now!!!</strong></p><p>Gain the essential skills for a<strong> Data Analyst </strong>role through this <strong>TWENTY-in-One career-oriented </strong>Professional Data Analyst Program from Apex Learning and position yourself competitively in the thriving job market for data analysts, which will see a <strong>20% growth by 2028</strong> (U.K. Bureau of Labor Statistics).</p><p>Power your<strong> Data Analyst </strong>career by learning the <strong>core principles</strong> of data analysis and gaining professional skills. You'll go through with a variety of data sources, project scenarios, and data analysis tools, including <strong>Excel</strong>, <strong>Power BI</strong>, <strong>SQL</strong>, <strong> Python</strong>, <strong>Google Data Studio</strong>,<strong> Tableau</strong> and <strong>SAS</strong>, gaining practical experience with data manipulation and applying analytical techniques.</p><p>Along with this Data Analyst : Data Analytics bundle, you will get 19 other premium courses.</p><p><strong>This Data Analyst : Data Analytics Bundle Consists of the following Premium courses:</strong></p><ul><li><strong>Course 01:</strong> Introduction to Data Analysis</li><li><strong>Course 02:</strong> Data Analytics with Tableau</li><li><strong>Course 03:</strong> Python for Data Analysis</li><li><strong>Course 04:</strong> Basic Google Data Studio</li><li><strong>Course 05:</strong> SQL NoSQL Big Data and Hadoop</li><li><strong>Course 06:</strong> Complete Microsoft Power BI 2021</li><li><strong>Course 07:</strong> Fundamentals of Business Analysis</li><li><strong>Course 08:</strong> Complete Introduction to Business Data Analysis Level 3</li><li><strong>Course 09:</strong> Business Intelligence and Data Mining Masterclass</li><li><strong>Course 10:</strong> Research Methods in Business</li><li><strong>Course 11:</strong> Statistical Analysis</li><li><strong>Course 12:</strong> Graph Theory Algorithms</li><li><strong>Course 13:</strong> Clinical Data Analysis with SAS</li><li><strong>Course 14:</strong> Data Analysis in Excel Level 3 Course</li><li><strong>Course 15:</strong> Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query</li><li><strong>Course 16:</strong> PowerPoint Diploma</li><li><strong>Course 17:</strong> Data Protection and Data Security Level 2</li><li><strong>Course 18:</strong> Functional Skills IT</li><li><strong>Course 19:</strong> Decision Making and Critical Thinking</li></ul><p>So, enrol in this Data Analyst : Data Analytics Training now to advance your career!</p><p>This Data Analyst : Data Analytics bundle Does Not require any prior programming or statistical skills and is suitable for learners with or without college degrees.</p><p>The Data Analyst : Data Analytics bundle incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can strengthen your Data Analyst : Data Analytics expertise and essential knowledge, which will assist you in reaching your goal. Moreover, you can learn from any place in your own time without travelling for classes.</p><p><strong>H</strong><strong>ow will I get my Certificate?</strong></p><p>After successfully completing the Data Analyst : Data Analytics Training, you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement.</p><ul><li><strong>PDF Certificate: Free (For The Title Course)</strong></li><li><strong>Hard Copy Certificate: Free (For The Title Course)</strong></li></ul><p>P.S. The delivery charge inside the U.K. is £3.99, and the international students must pay £9.99.</p><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        125 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div><h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <p>Anyone from any background can enrol in this Data Analyst : Data Analytics bundle.</p>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>This Data Analyst : Data Analytics Trainingcourse has been designed to be fully compatible with tablets and smartphones.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>Data Analyst : Data Analytics Training<strong>: </strong></p><p>This <strong>Data Analyst (Data Analytics) </strong>Bundle is ideal for anyone who wants to take their development to the next level and fast-track their career in any of the following roles:b</p><ul><li>Data analytics manager</li><li>Financial analyst</li><li>Marketing analyst</li><li>Systems analyst</li><li>Data scientist</li><li>Machine learning engineer</li><li>Data analytics consultant</li></ul>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Certificate of completion</h4>
        <p>
            Digital certificate -
            Included
        </p>
            <div> <p>You will get the PDF Certificate for the title course (<strong>Data Analysis</strong>) absolutely Free! </p> </div>
        <h4>Certificate of completion</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
            <div> <p>You will get the Hard Copy certificate for the title course (<strong>Data Analysis</strong>) absolutely Free! Other Hard Copy certificates are available for £10 each. </p><p>Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.</p> </div>

                        </div>

Get Hard Copy + PDF Certificates + Transcript + Student ID Card worth £180 as a Gift-Enrol Now!!!
Gain the essential skills for a Data Analyst role through this TWENTY-in-One career-oriented Professional Data Analyst Program from Apex Learning and position yourself competitively in the thriving job market for data analysts, which will see a 20% growth by 2028 (U.K. Bureau of Labor Statistics).
Power your Data Analyst career by learning the core principles of data analysis and gaining professional skills. You'll go through with a variety of data sources, project scenarios, and data analysis tools, including Excel, Power BI, SQL,  Python, Google Data Studio, Tableau and SAS, gaining practical experience with data manipulation and applying analytical techniques.
Along with this Data Analyst : Data Analytics bundle, you will get 19 other premium courses.
This Data Analyst : Data Analytics Bundle Consists of the following Premium courses:
Course 01: Introduction to Data Analysis
Course 02: Data Analytics with Tableau
Course 03: Python for Data Analysis
Course 04: Basic Google Data Studio
Course 05: SQL NoSQL Big Data and Hadoop
Course 06: Complete Microsoft Power BI 2021
Course 07: Fundamentals of Business Analysis
Course 08: Complete Introduction to Business Data Analysis Level 3
Course 09: Business Intelligence and Data Mining Masterclass
Course 10: Research Methods in Business
Course 11: Statistical Analysis
Course 12: Graph Theory Algorithms
Course 13: Clinical Data Analysis with SAS
Course 14: Data Analysis in Excel Level 3 Course
Course 15: Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query
Course 16: PowerPoint Diploma
Course 17: Data Protection and Data Security Level 2
Course 18: Functional Skills IT
Course 19: Decision Making and Critical Thinking
So, enrol in this Data Analyst : Data Analytics Training now to advance your career!
This Data Analyst : Data Analytics bundle Does Not require any prior programming or statistical skills and is suitable for learners with or without college degrees.
The Data Analyst : Data Analytics bundle incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can strengthen your Data Analyst : Data Analytics expertise and essential knowledge, which will assist you in reaching your goal. Moreover, you can learn from any place in your own time without travelling for classes.
How will I get my Certificate?
After successfully completing the Data Analyst : Data Analytics Training, you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement.
PDF Certificate: Free (For The Title Course)
Hard Copy Certificate: Free (For The Title Course)
P.S. The delivery charge inside the U.K. is £3.99, and the international students must pay £9.99.
 CPD 
125 CPD hours / points  Accredited by CPD Quality Standards
 Who is this course for? 
Anyone from any background can enrol in this Data Analyst : Data Analytics bundle.
 Requirements 
This Data Analyst : Data Analytics Trainingcourse has been designed to be fully compatible with tablets and smartphones.
 Career path 
Data Analyst : Data Analytics Training: 
This Data Analyst (Data Analytics) Bundle is ideal for anyone who wants to take their development to the next level and fast-track their career in any of the following roles:b
Data analytics manager
Financial analyst
Marketing analyst
Systems analyst
Data scientist
Machine learning engineer
Data analytics consultant
 Certificates 
Certificate of completion
 Digital certificate - Included 
You will get the PDF Certificate for the title course (Data Analysis) absolutely Free! 
Certificate of completion
 Hard copy certificate - Included 
You will get the Hard Copy certificate for the title course (Data Analysis) absolutely Free! Other Hard Copy certificates are available for £10 each. 
Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.

Apex Learning

Data Analyst : Data Analytics Training

<p>Tired of searching and accumulating all the relevant courses for this specific field? It takes a substantial amount of your time and, more importantly, costs you a fortune! Well, we have just come up with the ultimate solution for you by giving this all-inclusive Microsoft Excel &amp; Data Analyst mega bundle.</p><p>This 37 courses mega bundle keeps you up-to-date in this field and takes you one step ahead of others. Keeping in mind the latest advancements in this ever-emerging sector, the Microsoft Excel &amp; Data Analyst bundle covers all the state-of-the-art tools and techniques required to become a competent worker in this area.</p><p>You will encounter specific courses relevant to the sector. We take you from the most introductory fundamentals to advance knowledge in a step-by-step manner. In addition, the Microsoft Excel &amp; Data Analyst bundle also consists of courses related to some soft skills that you will need to succeed in any industry or job sector.</p><p><strong>This </strong><strong>Microsoft Excel &amp; Data Analyst </strong><strong>Bundle consists of the following premium courses: </strong></p><ul><li>Course 01: MS Word Diploma</li><li>Course 02: Proofreading &amp; Copyediting</li><li>Course 03: PowerPoint Diploma</li><li>Course 04: Microsoft Excel Level 3</li><li>Course 05: New Functions in Microsoft Excel 2021</li><li>Course 06: Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query</li><li>Course 07: Microsoft Excel: Excel Sheet Comparison with VBA</li><li>Course 08: Microsoft Excel: Master Power Query in 120 Minutes!</li><li>Course 09: Excel: Top 50 Microsoft Excel Formulas in 50 Minutes!</li><li>Course 10: Excel Pivot Tables</li><li>Course 11: Data Analysis in Microsoft Excel Complete Training</li><li>Course 12: Excel Must know Formulas and Functions</li><li>Course 13: Excel spreadsheet for Beginner</li><li>Course 14: Excel Data Analysis</li><li>Course 15: Excel Vlookup, Xlookup, Match and Index</li><li>Course 16: Excel Pivot Tables, Pivot Charts, Slicers, and Timelines</li><li>Course 17: PowerBI Formulas</li><li>Course 18: Outlook Tips and tricks</li><li>Course 19: Excel PowerQuery and PowerPivot</li><li>Course 20: Complete Microsoft Power BI 2021</li><li>Course 21: The Complete Microsoft Outlook Masterclass</li><li>Course 22: Microsoft Access Complete Course (Beginner, Intermediate, Advanced)</li><li>Course 23: Microsoft Access Tables and Queries</li><li>Course 24: Microsoft Access Databases Forms and Reports</li><li>Course 25: Microsoft Teams</li><li>Course 26: Planning &amp; Control Using Microsoft Project 2013, 2016 &amp; 2019</li><li>Course 27: Data Protection and Data Security Level 2</li><li>Course 28: Office Skills and Administration Management Diploma</li><li>Course 29: Touch Typing Essentials</li><li>Course 30: Document Control</li></ul><p><strong>Moreover, this bundles include 7 career-focused courses:</strong></p><ul><li>Course 01: Career Development Plan Fundamentals</li><li>Course 02: CV Writing and Job Searching</li><li>Course 03: Interview Skills: Ace the Interview</li><li>Course 04: Video Job Interview for Job Seekers</li><li>Course 05: Create a Professional LinkedIn Profile</li><li>Course 06: Business English Perfection Course</li><li>Course 07: Networking Skills for Personal Success</li></ul><p>Our cutting-edge learning package offers top-notch digital aid and first-rate tutor support. You will acquire the crucial hard and soft skills needed for career advancement because this bundle has been thoroughly examined and is career-friendly. So don't overthink! Enrol today.</p><p><strong>Learning Outcomes</strong></p><p>This unique Microsoft Excel &amp; Data Analyst mega bundle will help you to-</p><ul><li>Quench your thirst for knowledge</li><li>Be up-to-date about the latest advancements</li><li>Achieve your dream career goal in this sector</li><li>Know the applicable rules and regulations needed for a professional in this area</li><li>Acquire some valuable knowledge related to Microsoft Excel &amp; Data Analyst to uplift your morale</li></ul><p>The bundle incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can strengthen your expertise and essential knowledge, which will assist you in reaching your goal. Moreover, you can learn from any place in your own time without travelling for classes.</p><p><strong>Certificate:</strong></p><ul><li><strong>PDF Certificate: Free for all </strong><strong>37</strong><strong> courses</strong></li><li><strong>Hard Copy Certificate: Free (For The Title Course: Previously it was £10)</strong></li></ul><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        370 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div><h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <p>The Microsoft Excel &amp; Data Analyst bundle is designed to assist anyone with a curious mind, anyone looking to boost their CVs or individuals looking to upgrade their career to the next level can also benefit from the learning materials.</p>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>The courses in this bundle has been designed to be fully compatible with tablets and smartphones.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>This Microsoft Excel &amp; Data Analyst bundle will give you an edge over other competitors and will open the doors for you to a plethora of career opportunities.</p>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Certificate of completion</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>Certificate of completion</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
            <div> <p>You will get the Hard Copy certificate for the title course (<strong>MS Word Diploma</strong>) absolutely Free! Other Hard Copy certificates are available for £10 each. </p><p><strong>Please Note:</strong> The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.</p> </div>

                        </div>

Tired of searching and accumulating all the relevant courses for this specific field? It takes a substantial amount of your time and, more importantly, costs you a fortune! Well, we have just come up with the ultimate solution for you by giving this all-inclusive Microsoft Excel & Data Analyst mega bundle.
This 37 courses mega bundle keeps you up-to-date in this field and takes you one step ahead of others. Keeping in mind the latest advancements in this ever-emerging sector, the Microsoft Excel & Data Analyst bundle covers all the state-of-the-art tools and techniques required to become a competent worker in this area.
You will encounter specific courses relevant to the sector. We take you from the most introductory fundamentals to advance knowledge in a step-by-step manner. In addition, the Microsoft Excel & Data Analyst bundle also consists of courses related to some soft skills that you will need to succeed in any industry or job sector.
This Microsoft Excel & Data Analyst Bundle consists of the following premium courses: 
Course 01: MS Word Diploma
Course 02: Proofreading & Copyediting
Course 03: PowerPoint Diploma
Course 04: Microsoft Excel Level 3
Course 05: New Functions in Microsoft Excel 2021
Course 06: Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query
Course 07: Microsoft Excel: Excel Sheet Comparison with VBA
Course 08: Microsoft Excel: Master Power Query in 120 Minutes!
Course 09: Excel: Top 50 Microsoft Excel Formulas in 50 Minutes!
Course 10: Excel Pivot Tables
Course 11: Data Analysis in Microsoft Excel Complete Training
Course 12: Excel Must know Formulas and Functions
Course 13: Excel spreadsheet for Beginner
Course 14: Excel Data Analysis
Course 15: Excel Vlookup, Xlookup, Match and Index
Course 16: Excel Pivot Tables, Pivot Charts, Slicers, and Timelines
Course 17: PowerBI Formulas
Course 18: Outlook Tips and tricks
Course 19: Excel PowerQuery and PowerPivot
Course 20: Complete Microsoft Power BI 2021
Course 21: The Complete Microsoft Outlook Masterclass
Course 22: Microsoft Access Complete Course (Beginner, Intermediate, Advanced)
Course 23: Microsoft Access Tables and Queries
Course 24: Microsoft Access Databases Forms and Reports
Course 25: Microsoft Teams
Course 26: Planning & Control Using Microsoft Project 2013, 2016 & 2019
Course 27: Data Protection and Data Security Level 2
Course 28: Office Skills and Administration Management Diploma
Course 29: Touch Typing Essentials
Course 30: Document Control
Moreover, this bundles include 7 career-focused courses:
Course 01: Career Development Plan Fundamentals
Course 02: CV Writing and Job Searching
Course 03: Interview Skills: Ace the Interview
Course 04: Video Job Interview for Job Seekers
Course 05: Create a Professional LinkedIn Profile
Course 06: Business English Perfection Course
Course 07: Networking Skills for Personal Success
Our cutting-edge learning package offers top-notch digital aid and first-rate tutor support. You will acquire the crucial hard and soft skills needed for career advancement because this bundle has been thoroughly examined and is career-friendly. So don't overthink! Enrol today.
Learning Outcomes
This unique Microsoft Excel & Data Analyst mega bundle will help you to-
Quench your thirst for knowledge
Be up-to-date about the latest advancements
Achieve your dream career goal in this sector
Know the applicable rules and regulations needed for a professional in this area
Acquire some valuable knowledge related to Microsoft Excel & Data Analyst to uplift your morale
The bundle incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can strengthen your expertise and essential knowledge, which will assist you in reaching your goal. Moreover, you can learn from any place in your own time without travelling for classes.
Certificate:
PDF Certificate: Free for all 37 courses
Hard Copy Certificate: Free (For The Title Course: Previously it was £10)
 CPD 
370 CPD hours / points  Accredited by CPD Quality Standards
 Who is this course for? 
The Microsoft Excel & Data Analyst bundle is designed to assist anyone with a curious mind, anyone looking to boost their CVs or individuals looking to upgrade their career to the next level can also benefit from the learning materials.
 Requirements 
The courses in this bundle has been designed to be fully compatible with tablets and smartphones.
 Career path 
This Microsoft Excel & Data Analyst bundle will give you an edge over other competitors and will open the doors for you to a plethora of career opportunities.
 Certificates 
Certificate of completion
 Digital certificate - Included 
Certificate of completion
 Hard copy certificate - Included 
You will get the Hard Copy certificate for the title course (MS Word Diploma) absolutely Free! Other Hard Copy certificates are available for £10 each. 
Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.

MS Excel & Data Analyst

<p>Do you want to prepare for your dream job but strive hard to find the right courses? Then, stop worrying, for our strategically modified<strong> Data Analyst Training: Boost Your Career</strong> bundle will keep you up to date with the relevant knowledge and most recent matters of this emerging field. So, invest your money and effort in our <strong>33</strong> course mega bundle that will exceed your expectations within your budget.</p> <p>The<strong> Data Analyst Training: Boost Your Career</strong> related fields are thriving across the UK, and recruiters are hiring the most knowledgeable and proficient candidates. It's a demanding field with magnitudes of lucrative choices. If you need more guidance to specialise in this area and need help knowing where to start, then <strong>StudyHub </strong>proposes a preparatory bundle. This comprehensive <strong> Data Analyst Training: Boost Your Career</strong> bundle will help you build a solid foundation to become a proficient worker in the sector.</p> <p><strong>This Data Analyst Training: Boost Your Career Bundle consists of the following</strong><strong> 30 </strong><strong>CPD Accredited Premium courses - </strong></p> <ul> <li>Course 01 :Diploma in Data Analysis Fundamentals</li><li>Course 02 :Google Data Studio: Data Analytics</li><li>Course 03 :Statistics</li><li>Course 04 :Statistical Analysis</li><li>Course 05 :Research Methods in Business</li><li>Course 06 :Business Intelligence and Data Mining</li><li>Course 07 :Quick Data Science Approach from Scratch</li><li>Course 08 :Microsoft Power BI - Master Power BI in 90 Minutes!</li><li>Course 09 :PowerBI Formulas</li><li>Course 10 :R Programming for Data Science</li><li>Course 11 :Python Data Science</li><li>Course 12 :Data Science &amp; Machine Learning with Python</li><li>Course 13 :Data Science &amp; Machine Learning with R</li><li>Course 14 :Excel Data Tools and Data Management</li><li>Course 15 :Master JavaScript with Data Visualization</li><li>Course 16 :Mastering SQL Programming</li><li>Course 17 :Fundamentals of Business Analysis</li><li>Course 18 :Financial Analysis</li><li>Course 19 :Financial Statement Analysis Masterclass</li><li>Course 20 :Financial Modeling Using Excel</li><li>Course 21 :Investment Analyst</li><li>Course 22 :Technical Analysis Masterclass for Trading &amp; Investing</li><li>Course 23 :Understanding Financial Statements and Analysis</li><li>Course 24 :Strategic Planning and Analysis for Marketing</li><li>Course 25: Stock Trading Analysis with Volume Trading</li><li>Course 26: Time Management Training - Online Course</li><li>Course 27: Complete Communication Skills Master Class for Life</li><li>Course 28: Public Speaking</li><li>Course 29: Minute Taking Executive Training</li><li>Course 30: Receptionist Skills</li></ul> <p><strong>3 </strong><strong>Extraordinary Career Oriented courses that will assist you in reimagining your thriving techniques-</strong></p> <ul> <li>Course 01 :Career Development Plan Fundamentals</li><li>Course 02 :CV Writing and Job Searching</li><li>Course 03 :Interview Skills: Ace the Interview</li></ul> <p><strong>Learning Outcome</strong></p> <p><strong>This tailor-made </strong><strong>Data Analyst Training: Boost Your Career</strong><strong> bundle will allow you to-</strong></p> <ul> <li>Uncover your skills and aptitudes to break new ground in the related fields</li><li>Deep dive into the fundamental knowledge </li><li>Acquire some hard and soft skills in this area </li><li>Gain some transferable skills to elevate your performance</li><li>Maintain good report with your clients and staff</li><li>Gain necessary office skills and be tech savvy utilising relevant software </li><li>Keep records of your work and make a report </li><li>Know the regulations around this area</li><li>Reinforce your career with specific knowledge of this field </li><li>Know your legal and ethical responsibility as a professional in the related field</li></ul> <p>This Data Analyst Training: Boost Your Career Bundle resources were created with the help of industry experts, and all subject-related information is kept updated on a regular basis to avoid learners from falling behind on the latest developments.</p> <p><strong>Certification</strong></p> <p>After studying the complete training you will be able to take the assessment. After successfully passing the assessment you will be able to claim all courses pdf certificates and <strong>1 hardcopy certificate for the Title Course completely free</strong>. Other Hard Copy certificates need to be ordered at an additional cost of •8.</p> <h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        330 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div> <h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                             <p>Ambitious learners who want to strengthen their CV for their desired job should take advantage of the Data Analyst Training: Boost Your Career bundle! This bundle is also ideal for professionals looking for career advancement.</p> 
                        </div> <h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                             <p>To participate in this course, all you need is -</p> <ul> <li>A smart device</li><li>A secure internet connection</li><li>And a keen interest in Data Analyst Training: Boost Your Career</li></ul> 
                        </div> <h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                             <p>Upon completing this essential Bundle, you will discover a new world of endless possibilities. These courses will help you to get a cut above the rest and allow you to be more efficient in the relevant fields.</p> 
                        </div>

Do you want to prepare for your dream job but strive hard to find the right courses? Then, stop worrying, for our strategically modified Data Analyst Training: Boost Your Career bundle will keep you up to date with the relevant knowledge and most recent matters of this emerging field. So, invest your money and effort in our 33 course mega bundle that will exceed your expectations within your budget.
The Data Analyst Training: Boost Your Career related fields are thriving across the UK, and recruiters are hiring the most knowledgeable and proficient candidates. It's a demanding field with magnitudes of lucrative choices. If you need more guidance to specialise in this area and need help knowing where to start, then StudyHub proposes a preparatory bundle. This comprehensive  Data Analyst Training: Boost Your Career bundle will help you build a solid foundation to become a proficient worker in the sector.
This Data Analyst Training: Boost Your Career Bundle consists of the following 30 CPD Accredited Premium courses - 
Course 01 :Diploma in Data Analysis Fundamentals
Course 02 :Google Data Studio: Data Analytics
Course 03 :Statistics
Course 04 :Statistical Analysis
Course 05 :Research Methods in Business
Course 06 :Business Intelligence and Data Mining
Course 07 :Quick Data Science Approach from Scratch
Course 08 :Microsoft Power BI - Master Power BI in 90 Minutes!
Course 09 :PowerBI Formulas
Course 10 :R Programming for Data Science
Course 11 :Python Data Science
Course 12 :Data Science & Machine Learning with Python
Course 13 :Data Science & Machine Learning with R
Course 14 :Excel Data Tools and Data Management
Course 15 :Master JavaScript with Data Visualization
Course 16 :Mastering SQL Programming
Course 17 :Fundamentals of Business Analysis
Course 18 :Financial Analysis
Course 19 :Financial Statement Analysis Masterclass
Course 20 :Financial Modeling Using Excel
Course 21 :Investment Analyst
Course 22 :Technical Analysis Masterclass for Trading & Investing
Course 23 :Understanding Financial Statements and Analysis
Course 24 :Strategic Planning and Analysis for Marketing
Course 25: Stock Trading Analysis with Volume Trading
Course 26: Time Management Training - Online Course
Course 27: Complete Communication Skills Master Class for Life
Course 28: Public Speaking
Course 29: Minute Taking Executive Training
Course 30: Receptionist Skills
3 Extraordinary Career Oriented courses that will assist you in reimagining your thriving techniques-
Course 01 :Career Development Plan Fundamentals
Course 02 :CV Writing and Job Searching
Course 03 :Interview Skills: Ace the Interview
Learning Outcome
This tailor-made Data Analyst Training: Boost Your Career bundle will allow you to-
Uncover your skills and aptitudes to break new ground in the related fields
Deep dive into the fundamental knowledge
Acquire some hard and soft skills in this area
Gain some transferable skills to elevate your performance
Maintain good report with your clients and staff
Gain necessary office skills and be tech savvy utilising relevant software
Keep records of your work and make a report
Know the regulations around this area
Reinforce your career with specific knowledge of this field
Know your legal and ethical responsibility as a professional in the related field
This Data Analyst Training: Boost Your Career Bundle resources were created with the help of industry experts, and all subject-related information is kept updated on a regular basis to avoid learners from falling behind on the latest developments.
Certification
After studying the complete training you will be able to take the assessment. After successfully passing the assessment you will be able to claim all courses pdf certificates and 1 hardcopy certificate for the Title Course completely free. Other Hard Copy certificates need to be ordered at an additional cost of •8.
 CPD 
330 CPD hours / points  Accredited by CPD Quality Standards
 Who is this course for? 
Ambitious learners who want to strengthen their CV for their desired job should take advantage of the Data Analyst Training: Boost Your Career bundle! This bundle is also ideal for professionals looking for career advancement.
 Requirements 
To participate in this course, all you need is -
A smart device
A secure internet connection
And a keen interest in Data Analyst Training: Boost Your Career
 Career path 
Upon completing this essential Bundle, you will discover a new world of endless possibilities. These courses will help you to get a cut above the rest and allow you to be more efficient in the relevant fields.

Studyhub UK

Career Development

Data Analyst Training: Boost Your Career

<p>This Data Analyst : Data Analytics Diploma bundle will help you to become a job-ready Data Analyst.</p><p>The Data Analyst : Data Analytics Diploma course provides complete preparation for someone who aspires to become a data analyst at a minimal cost compared to the typical programs (not to mention how much time you will save). We believe this course will significantly boost your chances of landing your dream job, as it will prepare you for practical tasks and concepts frequently included in interviews.</p><p>Approximately 3.5 million jobs are there for professionals with data skills. So if you want to broaden your career opportunities, enrol in our Data Analyst : Data Analytics Diploma course, where our industry experts have included every detail of data learning material to give you a clear picture. Don't miss out!</p><p>We created this Data Analyst : Data Analytics Diploma to prepare you to advance your data analyst career. It is a unique training program because it teaches the fundamentals you need on the job-an often neglected aspect of critical importance. Our tutors will prepare you for a career as a Data Analyst by teaching you the fundamentals of mathematics, statistics, economics, theory analysis, data visualisation, data interpretation, risk management, and many other subjects. Everything is shown in the correct order, and you are not going to get lost along the way.</p><p><strong>This Data Analyst : Data Analytics Bundle Consists of the following Premium courses:</strong></p><ul><li><strong>Course 01: </strong>Data Analysis</li><li><strong>Course 02: </strong>Data Analytics with Tableau</li><li><strong>Course 03: </strong>Complete Google Analytics Course</li><li><strong>Course 04: </strong>Data Analysis in Excel Level 3 Course</li><li><strong>Course 05: </strong>Business Intelligence and Data Mining Masterclass</li><li><strong>Course 06: </strong>Business Analysis Level 3</li><li><strong>Course 07:</strong> Information Management<strong><br /></strong></li><li><strong>Course 08:</strong> Clinical Data Analysis with SAS</li><li><strong>Course 09: </strong>Strategic Business Management</li><li><strong>Course 10: </strong>Data Protection and Data Security Level 2</li><li><strong>Course 11:</strong> Excel: Top 50 Microsoft Excel Formulas in 50 Minutes!</li><li><strong>Course 12: </strong>GDPR Data Protection Level 5</li><li><strong>Course 13: </strong>Decision-Making and Critical Thinking</li><li><strong>Course 14: </strong>Time Management<strong><br /></strong></li></ul><p>Enrol now in Data Analyst : Data Analytics to advance your career, and use the premium study materials from Apex Learning.</p><p>The Data Analyst : Data Analytics bundle incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can strengthen your Data Analyst : Data Analytics expertise and essential knowledge, which will assist you in reaching your goal. Moreover, you can learn from any place in your own time without travelling for classes.</p><p><strong>Course Curriculum</strong> :</p><p><strong>Course 01: Introduction to Data Analysis</strong></p><ul><li>Introduction</li><li>The Voice of the Process</li><li>Working as One Team for Improvement</li><li>Exercise: The Voice of the Customer</li><li>Tools for Data Analysis</li><li>The Pareto Chart</li><li>The Histogram</li><li>The Run Chart</li><li>Exercise: Presenting Performance Data</li><li>Understanding Variation</li><li>The Control Chart</li><li>Control Chart Example</li><li>Control Chart Special Cases</li><li>Interpreting the Control Chart</li><li>Control Chart Exercise</li><li>Strategies to Deal with Variation</li><li>Using Data to Drive Improvement</li><li>A Structure for Performance Measurement</li><li>Data Analysis Exercise</li><li>Course Project</li><li>Test your Understanding</li></ul><p><strong>---------- 13 additional must needed courses------------</strong></p><p><strong>Certificate:</strong></p><ul><li><strong>PDF Certificate: Free (Previously it was £6*11 = £66)</strong></li><li><strong>Hard Copy Certificate: Free (For The Title Course: Previously it was £10)</strong></li></ul><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        150 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div><h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <ul><li>If you want to be a Data Analyst or Data Scientist, you should take this course.</li><li>If you want to have a successful career, this course is for you.</li><li>The course is also great for beginners because it starts with the basics and gradually builds up your skills.</li><li>Students who aspire to be among the top 20% of Data Analysts.</li><li>Students who want to gain hands-on experience with large, interesting datasets.</li></ul>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>This Data Analyst : Data Analytics course has been designed to be fully compatible with tablets and smartphones.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>This Data Analyst : Data Analytics Bundle is ideal for anyone who wants to take their career development to the next level and fast-track their career in any of the following roles:</p><ul><li>Data analytics manager</li><li>Financial analyst</li><li>Marketing analyst</li><li>Systems analyst</li><li>Data scientist</li><li>Data analytics consultant</li></ul><p>In the UK, these professionals' income ranges from <strong>£45,000 to £120,000 </strong>per year.</p>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Certificate of completion</h4>
        <p>
            Digital certificate -
            Included
        </p>

                        </div>

This Data Analyst : Data Analytics Diploma bundle will help you to become a job-ready Data Analyst.
The Data Analyst : Data Analytics Diploma course provides complete preparation for someone who aspires to become a data analyst at a minimal cost compared to the typical programs (not to mention how much time you will save). We believe this course will significantly boost your chances of landing your dream job, as it will prepare you for practical tasks and concepts frequently included in interviews.
Approximately 3.5 million jobs are there for professionals with data skills. So if you want to broaden your career opportunities, enrol in our Data Analyst : Data Analytics Diploma course, where our industry experts have included every detail of data learning material to give you a clear picture. Don't miss out!
We created this Data Analyst : Data Analytics Diploma to prepare you to advance your data analyst career. It is a unique training program because it teaches the fundamentals you need on the job-an often neglected aspect of critical importance. Our tutors will prepare you for a career as a Data Analyst by teaching you the fundamentals of mathematics, statistics, economics, theory analysis, data visualisation, data interpretation, risk management, and many other subjects. Everything is shown in the correct order, and you are not going to get lost along the way.
This Data Analyst : Data Analytics Bundle Consists of the following Premium courses:
Course 01: Data Analysis
Course 02: Data Analytics with Tableau
Course 03: Complete Google Analytics Course
Course 04: Data Analysis in Excel Level 3 Course
Course 05: Business Intelligence and Data Mining Masterclass
Course 06: Business Analysis Level 3
Course 07: Information Management
Course 08: Clinical Data Analysis with SAS
Course 09: Strategic Business Management
Course 10: Data Protection and Data Security Level 2
Course 11: Excel: Top 50 Microsoft Excel Formulas in 50 Minutes!
Course 12: GDPR Data Protection Level 5
Course 13: Decision-Making and Critical Thinking
Course 14: Time Management
Enrol now in Data Analyst : Data Analytics to advance your career, and use the premium study materials from Apex Learning.
The Data Analyst : Data Analytics bundle incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can strengthen your Data Analyst : Data Analytics expertise and essential knowledge, which will assist you in reaching your goal. Moreover, you can learn from any place in your own time without travelling for classes.
Course Curriculum :
Course 01: Introduction to Data Analysis
Introduction
The Voice of the Process
Working as One Team for Improvement
Exercise: The Voice of the Customer
Tools for Data Analysis
The Pareto Chart
The Histogram
The Run Chart
Exercise: Presenting Performance Data
Understanding Variation
The Control Chart
Control Chart Example
Control Chart Special Cases
Interpreting the Control Chart
Control Chart Exercise
Strategies to Deal with Variation
Using Data to Drive Improvement
A Structure for Performance Measurement
Data Analysis Exercise
Course Project
Test your Understanding
---------- 13 additional must needed courses------------
Certificate:
PDF Certificate: Free (Previously it was £6*11 = £66)
Hard Copy Certificate: Free (For The Title Course: Previously it was £10)
 CPD 
150 CPD hours / points  Accredited by CPD Quality Standards
 Who is this course for? 
If you want to be a Data Analyst or Data Scientist, you should take this course.
If you want to have a successful career, this course is for you.
The course is also great for beginners because it starts with the basics and gradually builds up your skills.
Students who aspire to be among the top 20% of Data Analysts.
Students who want to gain hands-on experience with large, interesting datasets.
 Requirements 
This Data Analyst : Data Analytics course has been designed to be fully compatible with tablets and smartphones.
 Career path 
This Data Analyst : Data Analytics Bundle is ideal for anyone who wants to take their career development to the next level and fast-track their career in any of the following roles:
Data analytics manager
Financial analyst
Marketing analyst
Systems analyst
Data scientist
Data analytics consultant
In the UK, these professionals' income ranges from £45,000 to £120,000 per year.
 Certificates 
Certificate of completion
 Digital certificate - Included 

Data Analyst : Data Analytics Diploma

24 Hours Left! Don't Let the Winter Deals Slip Away - Enrol Now in this Data Analyst Course!
Unlock the power of Data Analysis and become a master of insights with our Data Analyst (Data Analytics) course. Gain the Data Analyst skills to decipher complex datasets, extract valuable information, and make data-driven decisions that drive success as a Data Analyst. Join us on this Data Analyst (Data Analytics) course and embark on a journey to transform raw data into actionable intelligence, empowering businesses to thrive in the digital age with Data Analyst (Data Analytics)
Courses Included in This Data Analyst (Data Analytics) Training:
Course 01: Diploma in Data Analysis at QLS Level 5
Course 02: Diploma in Business Data Analysis at QLS Level 5
Course 03: SQL Masterclass: SQL For Data Analytics
Learning outcome of this Data Analyst (Data Analytics) course:
Master retail Data analytics for data-driven decisions.
Uncover consumer behavior with retail psychology.
Enhance retail performance through data analytics.
Apply data-driven strategies for retail planning.
Optimise inventory and product assortment in retail.
Why Prefer This Data Analysis at QLS Level 5 Course?
Opportunity to earn a certificate endorsed by the Quality Licence Scheme.
Get a free student ID card! (£10 postal charge will be applicable for international delivery)
Get instant access to this Data Analyst (Data Analytics) course.
Learn Data Analyst (Data Analytics) from anywhere in the world
Data Analyst (Data Analytics) is affordable and simple to understand
Data Analyst (Data Analytics) is entirely online, interactive lesson with voiceover audio
Lifetime access to the Data Analyst (Data Analytics) course materials
Data Analyst (Data Analytics) comes with 24/7 tutor support
Start your learning journey straight away with this Data Analyst (Data Analytics) course and take a step toward a brighter future!
Why Prefer This Data Analyst (Data Analytics) Course?
FREE certificate on Data Analyst (Data Analytics) accredited by CPDQS
Get instant access to this Data Analyst (Data Analytics) course.
Learn Data Analyst (Data Analytics) from anywhere in the world
Data Analyst (Data Analytics) is affordable and simple to understand
Data Analyst (Data Analytics) is entirely online, interactive lesson with voiceover audio
Lifetime Access to the Data Analyst (Data Analytics) course materials
Data Analyst (Data Analytics) comes with Data Analysis
Assessment Process of Data Analyst(Data Analytics) QLS Course:
Assignment & MCQ Based
60% Marks to pass
Instant Assessment
Certificate of Data Analyst
QLS Endorsed Certificate (additional cost)
CPD Approved Certificate
 CPD 
150 CPD hours / points  Accredited by CPD Quality Standards
Course 01- Data Analysis: Modifying a Worksheet 25:59   1: Insert, Delete, and Adjust Cells, Columns, and Rows Preview 10:08  2: Search for and Replace Data 08:38  3: Use Proofing and Research Tools 07:13
Working with Lists 37:47   4: Sort Data 10:03  5: Filter Data 09:49  6: Query Data with Database Functions 09:02  7: Outline and Subtotal Data 08:53
Analyzing Data 12:33   8: Apply Intermediate Conditional Formatting 06:50  9: Apply Advanced Conditional Formatting 05:43
Visualizing Data with Charts 38:03   10: Create Charts 13:18  11: Modify and Format Charts 12:16  12: Use Advanced Chart Features 12:29
Using PivotTables and PivotCharts 44:25   13: Create a PivotTable 13:28  14: Analyze PivotTable Data 12:00  15: Present Data with PivotCharts 07:35  16: Filter Data by Using Timelines and Slicers 11:22
Working with Multiple Worksheets and Workbooks 24:00   17: Use Links and External References 12:24  18: Use 3-D References 05:51  19: Consolidate Data 05:45
Using Lookup Functions and Formula Auditing 30:28   20: Use Lookup Functions 12:45  21: Trace Cells 09:05  22: Watch and Evaluate Formulas 08:38
Automating Workbook Functionality 35:27   23: Apply Data Validation 13:28  24: Search for Invalid Data and Formulas with Errors 04:06  25: Work with Macros 17:53
Creating Sparklines and Mapping Data 07:19   26: MapData 07:19
Forecasting Data 27:54   27: Determine Potential Outcomes Using Data Tables 08:47  28: Determine Potential Outcomes Using Scenarios 09:16  29: Use the Goal Seek Feature 04:16  30: Forecasting Data Trends 05:35
Course 02- Module 1: Introduction to Retail Analytics 32:03   31: Introduction to Retail Analytics Preview 32:03
Module 2: Retail Psychology 07:06   32: Retail Psychology 07:06
Module 3: Retail and Data Analytics 12:00   33: Retail and Data Analytics 12:00
Module 4: Benefits of Retail Analytics 16:26   34: Benefits of Retail Analytics 16:26
Module 5: Retail Strategy 09:44   35: Retail Strategy 09:44
Module 6: Retail Buying and Merchandising 11:27   36: Retail Buying and Merchandising 11:27
Module 7: Forecasting 23:27   37: Forecasting 23:27
Module 8: Retail Pricing 16:30   38: Retail Pricing 16:30
Module 9: Analytics Software 19:37   39: Analytics Software 19:37
Module 10: Supply Chain Management in Retailing 07:37   40: Supply Chain Management in Retailing 07:37
Module 11: The Sales Process and Dealing with Customers at the Checkout 04:57   41: The Sales Process and Dealing with Customers at the Checkout 04:57
Module 12: Selling in Multiple Channels 12:40   42: Selling in Multiple Channels 12:40
Module 13: Taking Trends and Targeting Customers Effectively 05:38   43: Taking Trends and Targeting Customers Effectively 05:38
Assessment (Optional) 12:00   44: MCQ Question 12:00
Order Your Certificate 02:00   45: Order Your CPD Certificate 01:00  46: Order Your QLS Endorsed Certificate 01:00
 Who is this course for? 
Data Analyst (Data Analytics) Training 

This course is for people who want to quickly and easily learn about Data Analyst (Data Analytics).
 Requirements 
Data Analyst (Data Analytics) Training 
You will not need any prior background or expertise to enrol in this Data Analyst (Data Analytics) course.
 Career path 
Data Analyst: £25,000 - £50,000
Junior Data Scientist: £30,000 - £60,000
Senior Data Analyst/Scientist: £50,000 - £100,000
Data Analytics Manager: £60,000 - £120,000
 Certificates 
Cademy certificate of completion
 Digital certificate - Included 
Will be downloadable when all lectures have been completed
Certificate of completion
 Digital certificate - £10 
Diploma in Retail And Data Analytics at QLS Level 5
 Hard copy certificate - £119 
Show off Your New Skills with a Certificate of Completion
After successfully completing the Diploma in Retail And Data Analytics at QLS Level 5, you can order an original hardcopy certificate of achievement endorsed by the Quality Licence Scheme. The certificate will be home-delivered, with a pricing scheme of -
119 GBP inside the UK
129 GBP (including postal fees) for International Delivery
Certificate Accredited by CPDQS
29 GBP for Printed Hardcopy Certificate inside the UK
39 GBP for Printed Hardcopy Certificate outside the UK (International Delivery)

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