610 Data Analyst courses in Sheffield delivered Online

Learning Outcomes Learn the basics of Python and the simple Python syntax Acquire in-depth knowledge of different data types Know more about various number types Enhance your understanding of functions objects and variadic functions Increase your skills in lambda, generators, classes and many more Equip yourself with the necessary skills in Python and launch your career as a programmer Description Python is one of the most popular programming languages all over the globe, including in the UK. So, whether you want to be a web developer or a software engineer, without having excellent expertise in Python you can not thrive in your respective field. Are you worried to start from the beginning? Then don't worry, the Python 3 for Beginners course will educate you on basic-level Python programming. This course will provide you with a detailed understanding of Python language. In this comprehensive training, you will learn about different data types and simple Python syntax. The course will also educate you on functions objects and variadic functions. Furthermore, you will grasp a clear understanding of object initialization, lambda and much more. Therefore, sign up for our most user-friendly, easy-to-digest and flexible course and complete it to get the CPD- certificate of achievement. This certificate will help you grab the attention of employers. Certificate of Achievement After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for 9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for 15.99, which will reach your doorsteps by post. Method of Assessment When you are done with your learning, you will get some assessment questions that need to pass with a score of 60%. After submitting the assessment, you will immediately receive feedback from our experts.  Career path After completing this course, you will get the chance to explore jobs in the following fields: Web Developer Software Engineer Data Scientist Machine Learning Engineer Data Analyst

24-Hour Knowledge Knockdown! Prices Reduced Like Never Before Making sound financial decisions is crucial for any business, but with complex data and ever-changing markets, it can feel overwhelming. Did you know over 60% of UK businesses cite financial planning as a top challenge? Are you ready to unlock the power of financial planning and modelling to propel your career and business forward? This comprehensive bundle equips you with the skills and knowledge to make informed decisions with confidence. Our Advanced Financial Planning & Financial Modelling bundle goes beyond basic accounting. You'll master the art of creating financial models that forecast future performance and analyse investment opportunities. You'll delve into financial reports to gain valuable insights into a company's health and make data-driven decisions. Furthermore, you'll explore capital budgeting techniques to ensure optimal resource allocation. With a strong foundation in business intelligence and data mining, you'll learn to extract valuable insights from complex datasets and make strategic business decisions. With our Advanced Financial Planning & Financial Modelling Diploma exclusive bundle, you will get a PDF Certificate, PDF Transcript and Digital Student ID Card (worth £50) Absolutely FREE. Courses are Included in Bundle: Course 01: Financial Modelling for Decision Making and Business plan Course 02: Financial Analysis for Finance Reports Course 03: Capital Budgeting & Investment Decision Rules Course 04: BUSINESS INTELLIGENCE AND DATA MINING DIPLOMA Course 05: Strategic Business Management Course 06: Risk Assessment Training Invest in your skillset and unlock a world of career opportunities. Enroll today and become a financial planning and modelling powerhouse. Learning Outcomes of Financial Planning & Financial Modelling Build intelligent financial models for future-proof decision making. Unleash the power of financial reports for strategic business insights. Master capital allocation mastery for optimal resource utilization. Become a data-mining detective with business intelligence expertise. Make winning business decisions based on data-driven insights. Transform into a financial forecasting mastermind for ultimate success. Why Choose Us? Get a Free CPD Accredited Certificate upon completion of Financial Planning & Financial Modelling Get a free student ID card with Financial Planning & Financial Modelling Training program (£10 postal charge will be applicable for international delivery) The Financial Planning & Financial Modelling is affordable and simple to understand This course is entirely online, interactive lesson with voiceover audio Get Lifetime access to the Financial Planning & Financial Modelling course materials The Financial Planning & Financial Modelling comes with 24/7 tutor support Start your learning journey straightaway! *** Course Curriculum *** Course 01: Financial Modelling for Decision Making and Business plan Section 01: Introduction Introduction to the course Introduction to the Business Process What is Financial Modelling Starting Point of a Financial Model First Steps before Starting to create Financial Model and Linking Business Model Section 02: Case Study: Restaurant - Basic Model For Selecting Initial Idea Starting with End in Mind-Comparative P&L Customer Acquisition Model Revenue and Cost Models Adding Product and Modelling Labour and Other Costs Modelling Capital Investments and ROI Calc Section 03: Business Plan And 3 Financial Statement Models Detailed Customer Acquisition Model and Revenue Model Cost of Sale Model Modelling Labour Cost Modelling Other Operating Expenses Modelling Income Statement and Cash Flows Modelling Balance Sheet Fixing the Error in Financial Model and Brief of RR Protected: Financial Model for Business plan for New Business Course 02: Financial Analysis for Finance Reports Welcome to the Course! Get the Overview of What You'll Learn What is a 10-K? Evaluating Profitability by Analyzing the Income Statement Evaluating Operations: Tying Operating Metrics to Financial Results Evaluating Financial Strength: Balance Sheet Analysis Evaluating Cash Flow Generation Performing Investment Analysis Course 03: BUSINESS INTELLIGENCE AND DATA MINING DIPLOMA Module 01: What is Business Intelligence? Module 02: Starting Case in understanding BI needs in diff phase of business Module 03: Decision Making Process and Need of IT systems Module 04: Problem Structure and Decision Support System Module 05: Introduction to BI Applications Module 06: Dashboard presentation systems Module 07: Different Types of Charts used in 131 Dashboards Module 08: Good Dashboard and BSC Module 09: Examples of Bad Dashboards 1 Module 10: Examples of Bad Dashboards 2 Module 11: Process of KPI Development Module 12: Overview of Data warehouse Module 13: More explaining of data warehouse and steps in processing Module 14: Data Warehouse Architecture -Tiers Module 15: Data Warehouse - components =========>>>>> And 2 More Courses <<<<<========= How will I get my Certificate? After successfully completing the course, you will be able to order your Certificates as proof of your achievement. PDF Certificate: Free (Previously it was £12.99*5 = £65) CPD Hard Copy Certificate: £29.99 CPD 50 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone interested in learning more about the topic is advised to take this bundle. This bundle is ideal for: Students seeking mastery in this field Professionals seeking to enhance their skills Anyone who is passionate about this topic Requirements You will not need any prior background or expertise to enrol in this bundle. Career path After completing this bundle, you are to start your career or begin the next phase of your career. Financial Strategist Data Analyst Investment Guru Business Growth Hacker Financial Forecaster Chief Data Officer Certificates CPD Accredited Digital Certificate Digital certificate - Included Upon passing the Course, you need to order a Digital Certificate for each of the courses inside this bundle as proof of your new skills that are accredited by CPD QS for Free. CPD Accredited Hard Copy Certificate Hard copy certificate - £29.99 Please note that International students have to pay an additional £10 as a shipment fee.

Duration 5 Days 30 CPD hours This course is intended for 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. Overview In this course, you will learn to: 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. 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, 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 Addressing Business Issues with Data Science Topic A: Initiate a Data Science Project Topic B: Formulate a Data Science Problem Extracting, Transforming, and Loading Data Topic A: Extract Data Topic B: Transform Data Topic C: Load Data 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 Designing a Machine Learning Approach Topic A: Identify Machine Learning Concepts Topic B: Test a Hypothesis Developing Classification Models Topic A: Train and Tune Classification Models Topic B: Evaluate Classification Models Developing Regression Models Topic A: Train and Tune Regression Models Topic B: Evaluate Regression Models Developing Clustering Models Topic A: Train and Tune Clustering Models Topic B: Evaluate Clustering Models 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

Are you ready to elevate your decision-making skills to new heights? Introducing our comprehensive Critical Thinking & Decision Making Training Course, designed to empower you with the tools and strategies necessary to navigate today's complex challenges with clarity and confidence. Key Features: CPD Certified Free Certificate Developed by Specialist Lifetime Access In this Critical Thinking & Decision Making Training Course, learners will explore the fundamentals of critical thinking, including its significance and steps involved. They will learn to identify critical thinkers and understand various strategies employed in critical thinking. Through practical examples, learners will develop problem-solving skills using critical thinking techniques. They will also delve into the evaluation of claims and judgments using critical thinking principles. Moreover, learners will discover the benefits of critical thinking and ways to overcome barriers that may hinder it. Lastly, the course will equip learners with the tools and techniques necessary for making informed decisions by integrating critical thinking into the decision-making process. By the end of the training, learners will possess a comprehensive understanding of critical thinking and its application in various aspects of life and work. Course Curriculum Module 01: Introduction to Critical Thinking Module 02: Importance of Critical Thinking Module 03: What Are the Critical Thinking Steps Module 04: Recognising a Critical Thinker Module 05: Critical Thinking Strategies Module 06: Problem-Solving Through Critical Thinking Module 07: Critical Thinking and the Judgment of Claims Module 08: Benefits and Barriers of Critical Thinking Module 09: Decision Making with Critical Thinking Learning Outcomes: Identify key principles and theories in critical thinking processes. Apply critical thinking steps to analyse and evaluate complex situations. Utilise critical thinking strategies to solve problems effectively and efficiently. Evaluate claims and arguments using critical thinking tools and techniques. Recognise the benefits of critical thinking and overcome common barriers. Make informed decisions by integrating critical thinking principles into decision-making. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Professionals seeking to enhance analytical and decision-making skills. Students aiming to develop critical thinking abilities for academic success. Managers and leaders striving to foster a culture of strategic thinking. Individuals navigating complex environments requiring sound judgment and reasoning. Anyone interested in honing problem-solving skills through critical analysis. Career path Policy Analyst Risk Manager Data Analyst Strategy Consultant Quality Assurance Manager Research Scientist Certificates Digital certificate Digital certificate - Included Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.

Unleash the power of data with our Data Analysis in Excel course, where you'll journey through the realm of spreadsheet analysis and uncover the secrets hidden within your data. In today's data-driven world, the ability to navigate, interpret, and extract insights from data is a coveted skill. Whether you're a professional looking to enhance your analytical capabilities or a student aiming to excel in data-driven fields, this course empowers you to harness Excel's full potential for data analysis. From modifying worksheets to forecasting future trends, you'll master the art of data manipulation, visualization, and analysis with confidence and precision. Learning Outcomes Master the art of modifying Excel worksheets to suit your data analysis needs. Discover advanced data analysis techniques, including working with lists and lookup functions. Create compelling data visualizations using charts, PivotTables, and PivotCharts. Effortlessly manage multiple worksheets and workbooks, making data organization a breeze. Apply data forecasting techniques and automate workbook functionality, saving time and boosting productivity. Why choose this Data Analysis in Excel course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Data Analysis in Excel course for? Professionals seeking to enhance their data analysis skills. Students preparing for careers in data-driven industries. Analysts, researchers, and data enthusiasts eager to upskill. Business professionals looking to make data-driven decisions. Anyone interested in harnessing Excel for powerful data analysis. Career path Data Analyst: £25,000 - £47,000 Business Analyst: £26,000 - £50,000 Financial Analyst: £26,000 - £56,000 Market Research Analyst: £24,000 - £40,000 Operations Analyst: £23,000 - £48,000 Business Intelligence Analyst: £27,000 - £56,000 Prerequisites This Data Analysis in Excel does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Data Analysis in Excel was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Modifying a Worksheet Insert, Delete, and Adjust Cells, Columns, and Rows 00:10:00 Search for and Replace Data 00:09:00 Use Proofing and Research Tools 00:07:00 Working with Lists Sort Data 00:10:00 Filter Data 00:10:00 Query Data with Database Functions 00:09:00 Outline and Subtotal Data 00:09:00 Analyzing Data Apply Intermediate Conditional Formatting 00:07:00 Apply Advanced Conditional Formatting 00:05:00 Visualizing Data with Charts Create Charts 00:13:00 Modify and Format Charts 00:12:00 Use Advanced Chart Features 00:12:00 Using PivotTables and PivotCharts Create a PivotTable 00:13:00 Analyze PivotTable Data 00:12:00 Present Data with PivotCharts 00:07:00 Filter Data by Using Timelines and Slicers 00:11:00 Working with Multiple Worksheets and Workbooks Use Links and External References 00:12:00 Use 3-D References 00:06:00 Consolidate Data 00:05:00 Using Lookup Functions and Formula Auditing Use Lookup Functions 00:13:00 Trace Cells 00:09:00 Watch and Evaluate Formulas 00:08:00 Automating Workbook Functionality Apply Data Validation 00:13:00 Search for Invalid Data and Formulas with Errors 00:04:00 Work with Macros 00:18:00 Creating Sparklines and Mapping Data Create Sparklines 00:07:00 MapData 00:07:00 Forecasting Data Determine Potential Outcomes Using Data Tables 00:08:00 Determine Potential Outcomes Using Scenarios 00:09:00 Use the Goal Seek Feature 00:04:00 Forecasting Data Trends 00:05:00 Recommended Materials Workbook - Data Analysis in Excel 00:00:00 Assignment Assignment - Data Analysis in Excel 00:00:00

Quick Data Science Approach from Scratch is an innovatively structured course designed to introduce learners to the fascinating world of data science. The course commences with an enlightening introduction, setting the stage for a deep dive into the essence and significance of data science in the modern era. Learners are guided through a landscape of insights, where misconceptions about data science are addressed and clarified, paving the way for a clear and accurate understanding of the field. In the second section, the course shifts its focus to pivotal data science concepts. Beginning with an exploration of data types and variables, learners gain a solid foundation in handling various data formats. The journey then leads to mastering descriptive analysis, a critical skill for interpreting and understanding data trends. Learners will also navigate through the intricate processes of data cleaning and feature engineering, essential skills for refining and optimizing data for analysis. The concept of 'Data Thinking Development' is introduced, fostering a mindset that is crucial for effective data science practice. The final section offers an immersive experience in applying these skills to a real-world scenario. Here, learners engage in defining a problem, choosing suitable algorithms, and developing predictive models. This practical application is designed to cement the theoretical knowledge acquired and enhance problem-solving skills in data science. Learning Outcomes Build a foundational understanding of data science and its practical relevance. Develop proficiency in managing various data types and conducting descriptive analysis. Learn and implement effective data cleaning and feature engineering techniques. Cultivate a 'data thinking' approach for insightful data analysis. Apply data science methodologies to real-life problems using algorithmic and predictive techniques. Why choose this Quick Data Science Approach from Scratch course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Quick Data Science Approach from Scratch course for? Novices aiming to enter the data science field. Sector professionals integrating data science into their expertise. Academicians and learners incorporating data science in academic pursuits. Business strategists utilizing data science for enhanced decision-making. Statisticians and analysts broadening their expertise into the data science domain. Career path Entry-Level Data Scientist: £25,000 - £40,000 Beginner Data Analyst: £22,000 - £35,000 Emerging Business Intelligence Specialist: £28,000 - £45,000 Data-Focused Research Scientist: £30,000 - £50,000 Novice Machine Learning Practitioner: £32,000 - £55,000 Data System Developer (Starter): £26,000 - £42,000 Prerequisites This Quick Data Science Approach from Scratch does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Quick Data Science Approach from Scratch was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Section 01: Course Overview & Introduction to Data Science Introduction 00:02:00 Data Science Explanation 00:05:00 Need of Data Science 00:02:00 8 Common mistakes by Aspiring Data Scientists/Data Science Enthusiasts 00:08:00 Myths about Data Science 00:03:00 Section 02: Data Science Concepts Data Types and Variables 00:04:00 Descriptive Analysis 00:02:00 Data Cleaning 00:02:00 Feature Engineering 00:02:00 Data Thinking Development 00:03:00 Section 03: A Real Life Problem Problem Definition 00:05:00 Algorithms 00:14:00 Prediction 00:03:00 Learning Methods 00:05:00 Assignment Assignment - Quick Data Science Approach from Scratch 00:00:00

Step into the exhilarating realm of 'Sports Management: Navigating the Business of Sports'. This course unveils the intricate dynamics underpinning the business facet of sports, right from understanding its basics to delving deep into strategic planning, financial analyses, and leadership nuances. With a robust curriculum spanning over 14 comprehensive modules, learners will uncover the mysteries of sports marketing, delve into the nuances of event promotions, and master the art of data analytics tailored for the sporting world. As sports transcend global boundaries, knowing how to adeptly manage and promote them can unlock new horizons. This course is your gateway to mastering that craft. Learning Outcomes Understand the foundational principles of sports management and its various facets. Analyse sports finance strategies and the underlying organisational structures. Develop strategies for effective leadership, conflict resolution, and performance assessment in sports settings. Master the principles of business administration tailored for sports, including event promotion and sponsorships. Harness the power of data analytics for informed decision-making in the sporting realm. Why buy this Sports Management: Navigating the Business of Sports? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Sports Management: Navigating the Business of Sports there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this Sports Management: Navigating the Business of Sports course for? Aspiring sports managers seeking a comprehensive understanding of the field. Individuals aiming to transition into sports administration and marketing roles. Coaches or trainers wanting to augment their managerial capabilities. Sports enthusiasts eager to turn their passion into a viable career. Entrepreneurs looking to venture into sports-related businesses. Prerequisites This Sports Management: Navigating the Business of Sports does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Sports Management: Navigating the Business of Sports was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path Sports Marketing Manager: £35,000 - £50,000 Sporting Event Coordinator: £28,000 - £42,000 Sports Data Analyst: £30,000 - £48,000 Sports Finance Analyst: £40,000 - £58,000 Sports Sponsorship Executive: £32,000 - £47,000 Sports Injury Manager: £27,000 - £40,000 Course Curriculum Module 01: What is Sports Management What is Sports Management 00:09:00 Module 02: Aspects of Sports Management Aspects of Sports Management 00:15:00 Module 03: Professional Sports and Global Circuits Professional Sports and Global Circuits 00:09:00 Module 04: Strategic Management in Sports Strategic Management in Sports 00:09:00 Module 05: The Sports Organisational Structure The Sports Organisational Structure 00:10:00 Module 06: Sports Finance Strategy and Analysis Sports Finance Strategy and Analysis 00:08:00 Module 07: Leadership and Management in Sport Leadership and Management in Sport 00:12:00 Module 08: Business Administration and Sports Marketing Business Administration and Sports Marketing 00:05:00 Module 09: Conflict Management Strategies Conflict Management Strategies 00:06:00 Module 10: Performance Management in Sports Performance Management in Sports 00:09:00 Module 11: Using Data Analytics in Sports Using Data Analytics in Sports 00:09:00 Module 12: Sporting Event Planning and Promotion Sporting Event Planning and Promotion 00:12:00 Module 13: Sports Sponsorships and Its Types Sports Sponsorships and Its Types 00:12:00 Module 14: Sports Injuries and Management Sports Injuries and Management 00:12:00

Remote sensing technology has transformed the way we perceive and analyse the Earth’s surface. With a broad range of applications from agriculture and environmental management to urban planning and climate research, this course introduces learners to the core concepts and techniques that underpin this fascinating field. Over the duration of this course, you’ll gain a solid foundation in remote sensing principles, satellite data interpretation, and various imaging systems that provide invaluable insights into our planet. The course is designed to equip you with the knowledge necessary to understand the growing significance of remote sensing in solving complex global challenges. Whether you're a student of environmental science, geography, or simply curious about the potential of remote sensing technology, this course will enhance your understanding of how we collect and process data remotely. By exploring the key technologies used in satellite imagery, radar systems, and the application of data for decision-making, you'll be poised to explore the wide range of industries that benefit from this technology. This course is an ideal starting point for those wishing to pursue further study or a career in geospatial technologies. Step into the world of remote sensing and uncover how these advanced systems can make a real impact on our world. Key Features CPD Accredited FREE PDF + Hardcopy certificate Fully online, interactive course Self-paced learning and laptop, tablet and smartphone-friendly 24/7 Learning Assistance Discounts on bulk purchases Course Curriculum Module 01: Introduction to Remote Sensing Module 02: Electromagnetic Spectrum and Remote Sensing Module 03: Platforms and Sensors Module 04: Image Interpretation Module 05: Remote Sensing Data Analysis Module 06: Applications of Remote Sensing in the UK Module 07: Future Trends in Remote Sensing Learning Outcomes: Master electromagnetic spectrum concepts crucial for remote sensing proficiency. Acquire knowledge of diverse platforms and sensors employed in the field. Develop expertise in interpreting intricate visual data from remote sensing. Hone skills in remote sensing data analysis tailored to the UK landscape. Explore applications spanning environmental monitoring to urban planning. Stay ahead by understanding the future trends shaping remote sensing technology. Accreditation This course is CPD Quality Standards (CPD QS) accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. Certificate After completing this course, you will get a FREE Digital Certificate from Training Express. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Enthusiasts eager to explore remote sensing technology. Students aspiring to deepen their knowledge in earth observation. Professionals seeking to enhance their skill set in geospatial analysis. Government employees involved in environmental monitoring. Researchers interested in leveraging remote sensing for diverse studies. Urban planners aiming to integrate technology into city development. Geographers keen on applying remote sensing in their research. Anyone intrigued by the future possibilities of remote sensing technology. Career path Environmental Analyst GIS Specialist Satellite Data Analyst Urban Planner Remote Sensing Researcher Geospatial Consultant Certificates Digital certificate Digital certificate - Included Once you've successfully completed your course, you will immediately be sent a FREE digital certificate. Hard copy certificate Hard copy certificate - Included Also, you can have your FREE printed certificate delivered by post (shipping cost £3.99 in the UK). For all international addresses outside of the United Kingdom, the delivery fee for a hardcopy certificate will be only £10. Our certifications have no expiry dates, although we do recommend that you renew them every 12 months.

Master Microsoft Excel with our CPD Accredited Complete Course, covering Beginner, Intermediate & Advanced levels. Boost your skills for data analysis, financial management, and more. Ideal for students, recent graduates, job seekers, and professionals. Get recognized with a worldwide CPD certificate. Learn at your own pace with expert guidance and support. Elevate your career with Excel expertise. Enrol now!

Course Overview: Are you ready to unlock the world of digital possibilities by understanding the art and science of data analytics? We live in an era where data back every decision and every action requires insightful analysis. Clive Humby said, "Data is the new oil, and it's the new oil, so it's an invaluable resource for companies worldwide. This comprehensive course covers a broad spectrum of data analytics, starting with an engaging 'Introduction to the World of Data,' before delving into the fundamental components like the 'Basics of Data Analytics,' 'Statistics for Data Analytics,' and the 'Actions Taken in the Data Analysis Process.' Each subsequent module is carefully designed to guide you through various stages of data analytics. You'll explore 'Data Mining,' work with 'Excel for Data Analytics,' and discover 'Tools for Data Analytics.' The curriculum wraps up with a focus on 'Data-Analytic Thinking' and 'Data Visualisation.' Enrol today and start your journey to becoming a data analytics expert! Key Features of the Course: This course comes with a CPD certificate, affirming your proficiency in data analytics. It offers 24/7 learning assistance to ensure you get the most out of your learning journey. The content is presented in easy-to-understand and engaging learning materials, carefully curated to make your journey in data analytics enlightening. Who is This Course For? This course suits professionals seeking to leverage data analytics in their respective fields, individuals aspiring to venture into the data science arena, and students keen to acquire contemporary skills for the digital age. What You Will Learn: Understand the fundamental concepts of data analytics. Apply statistical techniques to analyse large data sets. Implement effective strategies for data collection and storage. Master the art of data mining and extraction of valuable insights. Utilise Excel and other tools effectively for data analysis. Develop a data-analytic mindset for problem-solving. Translate data insights into compelling visualisations. Why Enrol in This Course: This course will open doors to many opportunities. You will learn from top-notch professionals, utilise quality learning materials and have access to trending and recently updated curriculum. Requirements: A basic understanding of computers A willingness to learn Career Path: The expertise gained from this Data Analytics course can pave your way into a variety of professions, such as: Data Analyst (£30,000-£60,000) Business Analyst (£35,000-£70,000) Market Research Analyst (£27,000-£55,000) Operations Analyst (£31,000-£62,000) Quantitative Analyst (£45,000-£85,000) Data Scientist (£50,000-£90,000) Data Engineer (£35,000-£75,000) Certification: On successful completion of this course, you will receive a CPD certificate, testifying your mastery in the field of data analytics. With this recognition, you can confidently showcase your skills and expertise in the professional world. Data analytics is a powerful tool that can be used to make better decisions, improve efficiency, and drive innovation. If you want to join this growing field, this course is for you! FAQ What do you mean by data analytics? Data analytics is the process of collecting, cleaning, analyzing, and interpreting data to extract insights. What data analytics actually do? Data analytics helps businesses make better decisions by providing them with insights into their data. This can include insights into customer behavior, market trends, and product performance. What are the 5 data analytics? The 5 data analytics are: Descriptive analytics: This type of analytics describes what has happened in the past. Diagnostic analytics: This type of analytics identifies the root cause of problems. Predictive analytics: This type of analytics predicts what will happen in the future. Prescriptive analytics: This type of analytics recommends actions to take based on the predictions. Visual analytics: This type of analytics uses visual representations of data to make it easier to understand. What is data analytics examples? Here are some examples of data analytics: A retailer uses data analytics to track customer behaviour and identify trends. A bank uses data analytics to predict which customers are likely to default on their loans. A healthcare provider uses data analytics to identify patients who are at risk for certain diseases. What are 4 types of analytics? The 4 types of analytics are: Descriptive analytics: This type of analytics describes what has happened in the past. Diagnostic analytics: This type of analytics identifies the root cause of problems. Predictive analytics: This type of analytics predicts what will happen in the future. Prescriptive analytics: This type of analytics recommends actions to take based on the predictions. Why do we use data analytics? We use data analytics to make better decisions, improve efficiency, and drive innovation. Here are some of the benefits of using data analytics: Better decision-making: Data analytics can help businesses make better decisions by providing them with insights into their data. Improved efficiency: Data analytics can help businesses improve efficiency by identifying areas where they can save time and money. Driven innovation: Data analytics can help businesses drive innovation by identifying new opportunities and trends. Course Curriculum 13 sections • 13 lectures • 12:25:00 total length •Introduction to the World of Data: 01:00:00 •Basics of Data Analytics: 00:40:00 •Statistics for Data Analytics: 01:00:00 •Actions Taken in the Data Analysis Process: 00:55:00 •Gathering the Right Information: 01:00:00 •Storing Data: 01:15:00 •Data Mining: 01:00:00 •Excel for Data Analytics: 01:20:00 •Tools for Data Analytics: 01:20:00 •Data-Analytic Thinking: 01:10:00 •Data Visualisation That Clearly Describes Insights: 00:45:00 •Data Visualization Tools: 01:00:00 •Assignment - Data Analytics: 00:00:00