1727 Analytics courses delivered Online

Our data analysis course offers comprehensive training in various data analysis tools like histograms, run charts and many other charts. Under expert guidance, you will be able to extract valuable insights from raw data, make informed decisions and solve complex problems. This Course At A Glance Accredited by CPD UK Endorsed by Quality Licence Scheme Learn about data analysis tools such as Tableau Public, SAS, Excel, RapidMiner and several alike Understand the meaning of the Pareto Chart, its analysis, and its applications Learn everything about Histogram, its uses, and applications Understand the importance of the Control chart, its examples, exceptional cases, and its interpretation Get to know about data variation and strategies to deal with variation Learn how to work in unison and present the quality data to the clients successfully Learn how to use data at various stages of business and what data tactics to use to drive business performance Have a thorough understanding of the principles and process of data management Data Analysis Course Overview This comprehensive online course is apt for those who want to become an expert in data analysis, understand data and data science, and learn analytics tools and techniques. You will learn about process management principles, tools for data analysis, the Pareto Chart, Histogram, and much more. By the end of the course, you will have a solid understanding of data management, data presentation, run chart, variation, control chart, strategies to deal with variation, and interpreting the control chart. Who should take this course? The data analysis course is designed for those who want to understand nuances of lists, sets, dictionaries, working, loading etc. It is ideal for anyone who wants to pursue their career in data analytics or anyone who wants to understand the principles of process management, tools of data analysis or different types of data charts such as Pareto chart, Histogram, and the Run chart. Entry Requirement There are no academic entry requirements for this Data Analysis course, and it is open to students of all academic backgrounds. However, you are required to have a laptop/desktop/tablet or smartphone and a good internet connection. Assessment Method This Data Analysis Course assesses learners through multiple-choice questions (MCQs). Upon successful completion of the modules, learners must answer MCQs to complete the assessment procedure. Through the MCQs, it is measured how much a learner could grasp from each section. In the assessment pass mark is 60%. Course Curriculum Data Analysis 101 Welcome Agenda and Principles of Process Management 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 Assessment Assessment - Data Analysis Recognised Accreditation CPD Certification Service This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. CPD certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Many organisations look for employees with CPD requirements, which means, that by doing this course, you would be a potential candidate in your respective field. Quality Licence Scheme Endorsed The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. It will give you a competitive advantage in your career, making you stand out from all other applicants and employees.     Certificate of Achievement Endorsed Certificate from Quality Licence Scheme After successfully passing the MCQ exam you will be eligible to order the Endorsed Certificate by Quality Licence Scheme. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. It will give you a competitive advantage in your career, making you stand out from all other applicants and employees. There is a Quality Licence Scheme endorsement fee to obtain an endorsed certificate which is £65. Certificate of Achievement from Lead Academy After successfully passing the MCQ exam you will be eligible to order your certificate of achievement as proof of your new skill. The certificate of achievement is an official credential that confirms that you successfully finished a course with Lead Academy. Certificate can be obtained in PDF version at a cost of £12, and there is an additional fee to obtain a printed copy certificate which is £35.   FAQs Is CPD a recognised qualification in the UK? CPD is globally recognised by employers, professional organisations and academic intuitions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. CPD-certified certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Are QLS courses recognised? Although QLS courses are not subject to Ofqual regulation, they must adhere to an extremely high level that is set and regulated independently across the globe. A course that has been approved by the Quality Licence Scheme simply indicates that it has been examined and evaluated in terms of quality and fulfils the predetermined quality standards. When will I receive my certificate? For CPD accredited PDF certificate it will take 24 hours, however for the hardcopy CPD certificate takes 5-7 business days and for the Quality License Scheme certificate it will take 7-9 business days. Can I pay by invoice? Yes, you can pay via Invoice or Purchase Order, please contact us at info@lead-academy.org for invoice payment. Can I pay via instalment? Yes, you can pay via instalments at checkout. How to take online classes from home? Our platform provides easy and comfortable access for all learners; all you need is a stable internet connection and a device such as a laptop, desktop PC, tablet, or mobile phone. The learning site is accessible 24/7, allowing you to take the course at your own pace while relaxing in the privacy of your home or workplace. Does age matter in online learning? No, there is no age limit for online learning. Online learning is accessible to people of all ages and requires no age-specific criteria to pursue a course of interest. As opposed to degrees pursued at university, online courses are designed to break the barriers of age limitation that aim to limit the learner's ability to learn new things, diversify their skills, and expand their horizons. When I will get the login details for my course? After successfully purchasing the course, you will receive an email within 24 hours with the login details of your course. Kindly check your inbox, junk or spam folder, or you can contact our client success team via info@lead-academy.org

Are you embarking on the journey of mastering data analytics and visualisation in the UK? The 'Advanced Diploma in Microsoft Power BI 2021 at QLS Level 7' is your beacon. Positioned to illuminate the intricate realm of Power BI, this course offers a comprehensive look into the foundational aspects and the advanced features that make Microsoft's tool a standout. With sections meticulously designed ranging from the fundamentals, like data transformation, to advanced concepts, such as integrating Power BI with Python and storytelling with data, this course ensures learners grasp the complete spectrum. With the rising emphasis on data analytics in today's business world, this course acquaints you with Power BI's prowess. It prepares you for the sought-after Microsoft Power BI certification in the UK. Learning Outcomes Comprehend the fundamental aspects of Power BI, from initiating a project to understanding the user interface. Develop proficiency in advanced data transformation techniques and data model creation. Integrate Python with Power BI and harness the benefits of both for enhanced data analytics. Master the art of 'Storytelling with Data' to deliver impactful presentations and reports. Understand and implement Row-Level Security and harness Power BI Cloud services efficiently. Why choose this Advanced Diploma in Microsoft Power BI 2021 at QLS Level 7? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are 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. Who is this Advanced Diploma in Microsoft Power BI 2021 at QLS Level 7 for? Individuals keen on obtaining the Microsoft power bi certification UK. Analysts and data professionals aspiring to enhance their data visualisation skills. Business professionals wanting to leverage Power BI for insightful business decision-making. Tech enthusiasts aiming to amalgamate programming (Python) with data analytics. Those seeking to stay updated with the latest trends in Power BI and its evolving capabilities. Career path Data Analyst: Average Salary £30,000 - £40,000 Annually Business Intelligence Developer: Average Salary £35,000 - £45,000 Annually Power BI Developer: Average Salary £40,000 - £50,000 Annually Data Visualisation Specialist: Average Salary £32,000 - £42,000 Annually Business Intelligence Manager: Average Salary £45,000 - £55,000 Annually Data Strategy Consultant: Average Salary £50,000 - £60,000 Annually Prerequisites This Advanced Diploma in Microsoft Power BI 2021 at QLS Level 7 does not require you to have any prior qualifications or experience. You can just enrol and start learning. This course 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. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £135 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Section 01: Introduction Welcome! 00:01:00 What is Power BI? 00:03:00 Download & Installing Power BI Desktop 00:04:00 Getting to know the interface 00:03:00 Mini Project: Transform Data 00:07:00 Mini Project: Visualize Data 00:05:00 Mini Project: Creating a Data Model 00:07:00 Course Outline: What will you learn in this course? 00:05:00 How to learn best with this course? 00:03:00 Section 02: Preparing our Project Creating our initial project file 00:04:00 Working with the attached project files 00:04:00 Section 03: Data Transformation - The Query Editor Exploring the Query Editor 00:06:00 Connecting to our data source 00:07:00 Editing rows 00:08:00 Changing data types 00:08:00 Replacing values 00:03:00 Close & Apply 00:03:00 Connecting to a csv file 00:03:00 Connecting to a web page 00:05:00 Extracting characters 00:06:00 Splitting & merging columns 00:09:00 Creating conditional columns 00:06:00 Creating columns from examples 00:09:00 Merging Queries 00:17:00 Pivoting & Unpivoting 00:06:00 Appending Queries 00:08:00 Practice & Solution: Population table 00:15:00 The Fact-Dimension-Model 00:09:00 Practice: Load the dimension table 00:04:00 Organizing our queries in groups 00:03:00 Entering data manually 00:05:00 Creating an index column 00:03:00 Workflow & more transformations 00:05:00 Module summary 00:05:00 Exercise 1 - Instruction 00:02:00 Exercise Solution 00:11:00 Section 04: Data Transformation - Advanced Advanced Editor - Best practices 00:09:00 Performance: References vs. Duplicating 00:10:00 Performance: Enable / Disable Load & Report Refresh 00:05:00 Group by 00:05:00 Mathematical Operations 00:05:00 Run R Script 00:15:00 Using Parameters to dynamically transform data 00:06:00 M formula language: Basics 00:07:00 M formula language: Values, Lists & Tables 00:14:00 M formula language: Functions 00:13:00 M formula language: More functions & steps 00:05:00 Exercise 2 - Instructions 00:01:00 Exercise 2 - solution 00:05:00 Section 05: Creating a Data Model Understanding the relationship 00:05:00 Create & edit relationships 00:06:00 One-to-many & one-to-one relationship 00:06:00 Many-to-many (m:n) relationship 00:08:00 Cross filter direction 00:06:00 Activate & deactivate relationships 00:06:00 Model summary 00:03:00 Exercise 3 Create Model 00:03:00 Exercise 3 Solution 00:02:00 Section 06: Data Visualization Our first visual 00:08:00 The format tab 00:12:00 Understanding tables 00:10:00 Conditional formatting 00:09:00 The Pie Chart 00:06:00 All about the filter visual 00:13:00 The filter pane for developers 00:09:00 Cross filtering & edit interactions 00:04:00 Syncing slicers across pages 00:07:00 Creating drill downs 00:08:00 Creating drill throughs 00:07:00 The tree map visual 00:07:00 The decomposition tree 00:05:00 Understanding the matrix visual 00:05:00 Editing pages 00:07:00 Buttons & Actions 00:09:00 Bookmarks to customize your report 00:10:00 Analytics and Forecasts with line charts 00:10:00 Working with custom visuals 00:07:00 Get data using R Script & R Script visual 00:08:00 Asking questions - Q&A visual 00:04:00 Wrap up - data visualization 00:08:00 Section 07: Power BI & Python Python in Power BI - Plan of attack 00:03:00 Setting up Python for Power BI 00:03:00 Transforming data using Python 00:11:00 Creating visualizations using Python 00:08:00 Violin plots, pair plots & ridge plots using Python 00:15:00 Machine learning (BayesTextAnalyzer) using Python 00:00:00 Performance & Troubleshooting 00:03:00 Section 08: Storytelling with Data Introduction 00:01:00 Show Empathy & Identify the Requirement 00:03:00 Finding the Most Suitable KPI's 00:02:00 Choose an Effective Visualization 00:04:00 Make Use of Natural Reading Pattern 00:03:00 Tell a Story Using Visual Cues 00:05:00 Avoid Chaos & Group Information 00:02:00 Warp Up - Storytelling with Data 00:02:00 Section 09: DAX - The Essentials Introduction 00:03:00 The project data 00:04:00 Measures vs. Calculated Columns 00:15:00 Automatically creating a date table in DAX 00:08:00 CALENDAR 00:05:00 Creating a complete date table with features 00:04:00 Creating key measure table 00:03:00 Aggregation functions 00:06:00 The different versions of COUNT 00:14:00 SUMX - Row based calculations 00:09:00 Section 10: DAX - The CALCULATE function CALCULATE - The basics 00:11:00 Changing the context with FILTER 00:07:00 ALL 00:08:00 ALL SELECTED 00:03:00 ALL EXCEPT 00:07:00 Section 11: Power BI Service - Power BI Cloud How to go on now? 00:03:00 Power BI Pro vs Premium & Signing up 00:04:00 Exploring the interface 00:04:00 Discovering your workspace 00:03:00 Connecting Power BI Desktop & Cloud 00:04:00 Understanding datasets & reports 00:03:00 Working on reports 00:04:00 Updating reports from Power BI Desktop 00:04:00 Creating and working with workspaces 00:07:00 Installing & using a data gateway 00:13:00 Get Quick Insights 00:03:00 Creating dashboards 00:04:00 Sharing our results through Apps 00:10:00 Power BI Mobile App 00:05:00 Creating the layout for the Mobile App 00:04:00 Wrap up Power BI Cloud 00:07:00 Section 12: Row-Level Security Introduction 00:03:00 Creating a Row-Level Security 00:05:00 Row-Level Security in the Cloud 00:04:00 Row-Level Security & Data Model 00:05:00 Dynamic Row-Level Security 00:07:00 Dynamic Many-to-Many RLS 00:04:00 Hierarchical Row-Level Security 00:13:00 Section 13: More data sources JSON & REST API 00:10:00 Setting up a local MySQL database 00:14:00 Connecting to a MySQL database in Power BI 00:05:00 Connecting to a SQL database (PostgreSQL) 00:05:00 Section 14: Next steps to improve & stay up to date Congratulations & next steps 00:06:00 The End 00:01:00 Resources Resources - Advanced Diploma in Microsoft Power BI 2021 at QLS Level 7 00:00:00 Assignment Assignment - Advanced Diploma in Microsoft Power BI 2021 at QLS Level 7 04:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

The Professional Certificate in Research Data Analysis Methods aims to provide extensive training on the nature, importance and expected results from qualitative and quantitative data analysis methods so that the learner can decide on the adoption of either or both methods after evaluation of the research objectives. Learning Outcomes After the successful completion of the certificate, the student will be able to learn: Data Analysis. Quantitative Data Analysis. Data Types of Quantitative Data Analysis. Designing Table and charts. Appreciating Data Analytics. Data-Analytic Methods. Analysing Quantitative Data. Qualitative Data analysis. Dimensions of Qualitative Analysis. Qualitative Data Analysis Methods. Analysing Qualitative Data. VIDEO - Course Structure and Assessment Guidelines Watch this video to gain further insight. Navigating the MSBM Study Portal Watch this video to gain further insight. Interacting with Lectures/Learning Components Watch this video to gain further insight. Research Data Analysis Methods The course aims to provide extensive training on the nature, importance and expected results from both qualitative and quantitative data analysis methods. Research Data Analysis Methods Put your knowledge to the test with this quiz. Read each question carefully and choose the response that you feel is correct. All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details. There are no strict entry requirements for this course. Work experience will be added advantage to understanding the content of the course. The certificate is designed to enhance the learner's knowledge in the field. This certificate is for everyone eager to know more and gets updated on current ideas in their respective field. We recommend this certificate for the following audience. CEO, Director, Manager, Supervisor Research student Business researcher Research supervisor Research Teacher Average Completion Time 2 Weeks Accreditation 3 CPD Hours Level Advanced Start Time Anytime 100% Online Study online with ease. Unlimited Access 24/7 unlimited access with pre-recorded lectures. Low Fees Our fees are low and easy to pay online.

Duration 2 Days 12 CPD hours This course is intended for This course is relevant to anyone who needs to work with and understand data including: Business Analysts, Data Analysts, Reporting and BI professionals Marketing and Digital Marketing professionals Digital, Web, e-Commerce, Social media and Mobile channel professionals Business managers who need to interpret analytical output to inform managerial decisions Overview This course will cover the basic theory of data visualization along with practical skills for creating compelling visualizations, reports and dashboards from data using Tableau. Outcome: After attending this course delegates will understand - How to move from business questions to great data visualizations and beyond How to apply the fundamentals of data visualization to create informative charts How to choose the right visualization type for the job at hand How to design and develop basic dashboards in Tableau that people will love to use by doing the following: Reading data sources into Tableau Setting up the roles and data types for your analysis Creating new data fields using a range of calculation types Creating the following types of charts - cross tabs, pie and bar charts, geographic maps, dual axis and combo charts, heat maps, highlight tables, tree maps and scatter plots Creating Dashboards that delight using the all of the features available in Tableau. The use of analytics, statistics and data science in business has grown massively in recent years. Harnessing the power of data is opening actionable insights in diverse industries from banking to tourism. From Business Questions to Data Visualisation and Beyond The first step in any data analysis project is to move from a business question to data analysis and then on to a complete solution. This section will examine this conversion emphasizing: The use of data visualization to address a business need The data analytics process ? from business questions to developed dashboards Introduction to Tableau ? Part 1 In this section, the main functionality of Tableau will be explained including: Selecting and loading your data Defining data item properties Create basic calculations including basic arithmetic calculations, custom aggregations and ratios, date math, and quick table calculations Creating basic visualizations Creating a basic dashboard Introduction to Tableau ? Part 2 In this section, the main functionality of Tableau will be explained including: Selecting and loading your data Defining data item properties Create basic calculations including basic arithmetic calculations, custom aggregations and ratios, date math, and quick table calculations Creating basic visualizations Creating a basic dashboard Key Components of Good Data Visualisation and The Visualisation Zoo In this section the following topics will be covered: Colour theory Graphical perception & communication Choosing the right chart for the right job Data Exploration with Tableau Exploring data to answer business questions is one of the key uses of applying good data visualization techniques within Tableau. In this section we will apply the data visualization theory from the previous section within Tableau to uncover trends within the data to answer specific business questions. The types of charts that will be covered are: Cross Tabs Pie and bar charts Geographic maps Dual axis and combo charts with different mark types Heat maps Highlight tables Tree maps Scatter plots Introduction to Building Dashboards with Tableau In this section, we will implement the full process from business question to final basic dashboard in Tableau: Introduction to good dashboard design Building dashboards in Tableau

With our Level 7 Advanced Diploma in Microsoft Power BI course, you can discover the full potential of Microsoft Power BI and go on a transforming journey into the world of data mastery. Explore the nuances of Power BI in great detail as we walk you through 14 thorough sections, each expertly designed to improve your abilities. From mastering the art of Data Transformation using the Query Editor to creating impactful Data Models, our course ensures a holistic understanding of the Microsoft Power BI landscape. Take your data visualization to new heights, explore the synergy between Power BI and Python, and unravel the art of storytelling with data. Dive into the essentials of DAX, unlocking the power of CALCULATE functions, and seamlessly navigate the Power BI Service in the Cloud. Immerse yourself in the intricacies of Row-Level Security and explore additional data sources. Elevate your proficiency, and chart your course toward continuous improvement with our guidance on the next steps to stay abreast of industry developments. Level 7 Advanced Diploma in Microsoft Power BI Course Learning Outcomes: Use the Query Editor to learn sophisticated Data Transformation techniques. Gain a solid understanding of building complex data models. Use Python's and Power BI's combined strengths to improve data visualisation. Use statistics to create engaging stories by mastering the craft of storytelling. Utilise the CALCULATE function and apply fundamental DAX ideas. To improve data security, use row-level security. Level 7 Advanced Diploma in Microsoft Power BI Section 01: Introduction Section 02: Preparing our Project Section 03: Data Transformation - The Query Editor in Microsoft Power BI Section 04: Data Transformation - Advanced in Microsoft Power BI Section 05: Creating a Data Model Section 06: Data Visualization Section 07: Power BI & Python Section 08: Storytelling with Data Section 09: DAX - The Essentials in Microsoft Power BI Section 10: DAX - The CALCULATE function in Microsoft Power BI Section 11: Power BI Service - Power BI Cloud Section 12: Row-Level Security Section 13: More data sources Section 14: Next steps to improve & stay up to date Certificate of Achievement Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for Free to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Who is this course for? Level 7 Advanced Diploma in Microsoft Power BI Data Analyst - Power BI Specialist Business Intelligence Consultant Data Visualization Expert Power BI Developer Analytics Manager Reporting Analyst Data Scientist - Power BI Requirements Level 7 Advanced Diploma in Microsoft Power BI To enrol in this Level 7 Advanced Diploma in Microsoft Power BI, Purchasing & Procurement course, all you need is a basic understanding of the English Language and an internet connection. Career path Power BI Developer: Average Salary: £40,000 to £65,000 per year Business Intelligence Analyst: Average Salary: £35,000 to £55,000 per year Data Analyst - Power BI Specialist: Average Salary: £30,000 to £50,000 per year BI Consultant: Average Salary: £45,000 to £70,000 per year Data Scientist - Power BI: Average Salary: £50,000 to £80,000 per year Certificates CPD Accredited PDF Certificate Digital certificate - Included QLS Endorsed Hard Copy Certificate Hard copy certificate - Included CPD Accredited Hard Copy Certificate Hard copy certificate - £9.99 CPD Accredited Hard Copy Certificate Delivery Charge: Inside the UK: Free Outside of the UK: £9.99 each

Are you tired of companies making decisions that seem to have no rhyme or reason? Do you want to be part of the solution? Introducing our Business Intelligence Analyst course - designed to equip you with the skills and knowledge to help businesses make better decisions. Learning Outcomes: Upon completion of the Business Intelligence Analysts course, you can expect to: Gain a comprehensive understanding of business intelligence principles and concepts. Develop the ability to analyse real-time data for informed decision-making. Acquire the fundamentals of statistics and data science to drive actionable insights. Master the basics of SQL for efficient data manipulation and analysis. Learn essential techniques for effective database management. Explore data warehouse concepts and their role in business intelligence. In today's fast-paced business landscape, data is king. The ability to harness and analyse data effectively has become a crucial skill for professionals looking to make a significant impact. Our comprehensive Business Intelligence Analyst course is designed to equip you with the knowledge and expertise to drive better decision-making within organisations. Through a series of engaging and practical modules, you'll embark on a journey to unlock the power of business intelligence. From understanding the fundamentals and concepts to discovering real-time data analysis techniques, you'll gain invaluable insights into the world of data-driven decision-making. Our Business Intelligence Analysts course takes a deep dive into statistics and data science, arming you with the necessary knowledge to extract meaningful insights from complex datasets. You'll also learn the fundamentals of SQL, enabling you to manipulate and analyse data efficiently. Database management essentials and data warehouse concepts will further enhance your understanding of the role data plays in business intelligence. Enrol right now! Certification Upon completion of the course, learners can obtain a certificate as proof of their achievement. You can receive a £4.99 PDF Certificate sent via email, a £9.99 Printed Hardcopy Certificate for delivery in the UK, or a £19.99 Printed Hardcopy Certificate for international delivery. Each option depends on individual preferences and locations. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The target audience for the Business Intelligence Analysts course is: Aspiring data analysts seeking to specialise in business intelligence. Professionals looking to enhance their decision-making abilities through data analysis. Managers and executives aiming to gain a deeper understanding of data-driven strategies. Entrepreneurs and business owners eager to leverage data for improved business outcomes. Career path This Business Intelligence Analysts course will help you to pursue a range of career paths, such as: Business Intelligence Analyst: £30,000 - £60,000 per annum Data Analyst: £25,000 - £45,000 per annum Business Analyst: £35,000 - £65,000 per annum Database Administrator: £30,000 - £55,000 per annum Data Scientist: £40,000 - £80,000 per annum Analytics Manager: £45,000 - £90,000 per annum

Course overview Advertising helps generate traffic on websites. However, customers might not buy products or services on their first visit. So here comes the importance of retargeting ads. It's an advertising technique that targets lapsed customers with visuals or text ads to persuade them to buy. The Complete Guide to Retargeting Ads course will guide you in every step of the way to create crazy effective retargeting ads. You will understand how retargeting works and learn how to set up and optimize profitable remarketing and retargeting campaigns. In addition, you will learn the process for remarketing audiences in Google Adwords and Analytics and identify the benefits of using Google Tag Manager. The skills you develop in the learning process will help you showcase your best selling products and services to your abandoning visitors and get them to take action. Enrol right now, reach your target customers and enjoy better marketing! Learning Outcomes Get to know how retargeting works Learn step-by-step how to plan your retargeting campaigns Know how to use Google Analytics to develop and build your audience segments Be able to create Google Ads remarketing tags in Google Tag Manager Understand how to configure your remarketing campaigns in Google AdWords Learn how to build and Configure new retargeting ads lists inside Google AdWords Who Is This Course For? The Complete Guide to Retargeting Ads course is beneficial for highly motivated learners interested in building profitable remarketing ads and campaigns. It offers an excellent opportunity to make the most of website traffic and drive business success. Entry Requirement This course is available to all learners of all academic backgrounds. Learners should be aged 16 or over. Good understanding of English language, numeracy and ICT skills are required to take this course. Certification After you have successfully completed the course, you will obtain an Accredited Certificate of Achievement. And, you will also receive a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hardcopy for £39 or in PDF format at the cost of £24. The PDF certificate's turnaround time is 24 hours, and for the hardcopy certificate, it is 3-9 working days. Why Choose Us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos and materials from the industry-leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; United Kingdom & internationally recognized accredited qualification; Access to course content on mobile, tablet and desktop from anywhere, anytime; Substantial career advancement opportunities; 24/7 student support via email. Career Path The Complete Guide to Retargeting Ads course provides essential skills that will make you more effective in your role. It would be beneficial for any related profession in the industry, such as Adverts Operation Manager Digital Marketing Manager Digital Marketing Executive Social Media and Community Manager Module 01: Welcome and Introduction Welcome to the retargeting ad masterclass (plus a sneak preview) Don't Skip! 00:07:00 What is remarketing and retargeting? Defining our objectives and purpose 00:17:00 Module 02: The Digital Advertising Ecosystem: Understanding How Retargeting Works The Digital Advertising Ecosystem Part 1 00:08:00 The Digital Advertising Ecosystem Part 2 00:08:00 Understanding Ad Exchanges And How They Work 00:20:00 What Remarketing Looks Like On The Inside 00:10:00 Module 03: Developing Your Remarketing and Retargeting Strategies Audiences and Segments: The Foundation Of Your Remarketing Strategy 00:07:00 Understanding Intent Signals and Visitor Engagement 00:12:00 Behavioural Characteristics - The Composition Of Your Segments 00:15:00 Combining Characteristics - Infinite Possibilities! 00:07:00 Characteristics That Matter To You Your First Assignment 00:02:00 Module 04: Planning Your Retargeting Campaigns Like A Pro Funnel Based Segmentation - Funnel Mapping 00:10:00 Funnel Based Segmentation - Using The Funnel To Develop Your Lists 00:14:00 Using Your Website To Plan Your Remarketing Lists 00:19:00 Mapping Your Ad Groups Using Your Lists and Values (Part 1) 00:13:00 Mapping Your Ad Groups Using Your Lists and Values (Part 2) 00:14:00 Module 05: Using Google Analytics To Develop and Build Your Audience Segments Introduction To The Google Analytics Tag 00:05:00 Logging In To Google Analytics Account & Retrieving Your Analytics Tracking Tag 00:04:00 Adding Your Google Analytics Tag To Your Website And Verifying That It's Working 00:13:00 Module 06: Tips, Tricks & Shortcuts Using Google Tag Manager as Your Tag Management System The Benefits Of Using Google Tag Manager 00:10:00 Signing Into Your Google Tag Manager Account 00:08:00 Adding Your Basic Google Analytics Tag Through Google Tag Manager 00:11:00 Setting Up Custom Button and Link Click Tracking In Google Tag Manager 00:20:00 Adding Page-Level Scroll Depth Tracking In Google Tag Manager 00:15:00 Adding Custom User Engagement Timers In Google Tag Manager 00:13:00 Adding Google Adwords Conversion Tracking Through Google Tag Manager 00:10:00 Setting Up Your Google AdWords Remarketing Tag Using Google Tag Manager 00:10:00 Module 07: Building Your Remarketing Audiences In Your Google Analytics Account Linking Your Google AdWords and Google Analytics Accounts 00:10:00 Introduction To The Google Analytics Audience Builder 00:17:00 Building Remarketing Audiences In Google Analytics Based On URL Attributes 00:18:00 Developing Remarketing Audiences Using Your AdWords Campaigns and AdWords Data 00:22:00 Setting Up Sequences In The Google Analytics Audience Builder Using AdWords Campaigns Final 00:05:00 Setting Up Goal-Based Remarketing Audiences In Google Analytics 00:14:00 Setting Up Event-Based Audiences Using The Google Analytics Display Builder 00:17:00 Importing Remarketing Audiences From The Google Analytics Solutions Gallery 00:11:00 Data Drilldown- Using Affinity Categories To Enhance Your Remarketing Campaigns 00:19:00 Data Drilldown - Using In-Market Segments To Enhance Your Remarketing Audiences 00:12:00 Module 08: Introduction To Configuring Your Remarketing Campaigns In Google AdWords How Google Analytics and AdWords Talk To Each Other 00:09:00 Importing Google Analytics Goals into AdWords For Conversion Tracking 00:06:00 Viewing and Analysing Google Analytics Remarketing Audiences in Google AdWords 00:14:00 Module 09: Using The Google AdWords Audience Builder To Build Your Retargeting Audiences Introduction To Building Retargeting Ads Lists In Google AdWords 00:05:00 Building and Configuring New Retargeting ads lists inside Google AdWords 00:10:00 Using Custom Combinations To Effectively Sculpt Your Retargeting Ads Traffic 00:11:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

https://www.valuex2.com/icagile-business-agility-foundations-certification-training/ https://www.linkedin.com/company/80563537/

***24 Hour Limited Time Flash Sale*** Data Science & Machine Learning, Excel Pivot & Machine Learning with Python Admission Gifts FREE PDF & Hard Copy Certificate| PDF Transcripts| FREE Student ID| Assessment| Lifetime Access| Enrolment Letter Immerse yourself in the world of Data Science, Machine Learning and Python with our exclusive bundle! Presenting eight thoughtfully curated courses, this bundle aims to enhance your understanding of intricate concepts. Within this collection, we proudly offer three QLS-endorsed courses: "2021 Data Science & Machine Learning with R from A-Z", "Excel Pivot Tables, Pivot Charts, Slicers, and Timelines", and "Machine Learning with Python", each complemented by a hardcopy certificate upon completion. Additionally, delve deeper with our five relevant CPD QS accredited courses. Explore Python Data Science with Numpy, Pandas, and Matplotlib. Uncover the secrets of R Programming for Data Science, enhance your statistical prowess with Statistics & Probability for Data Science & Machine Learning, and master spatial visualisation in Python. To top it all, there's a course on Google Data Studio for Data Analytics. Key Features of the Data Science & Machine Learning, Excel Pivot & Machine Learning with Python Bundle: 3 QLS-Endorsed Courses: We proudly offer 3 QLS-endorsed courses within our Data Science & Machine Learning, Excel Pivot & Machine Learning with Python bundle, providing you with industry-recognized qualifications. Plus, you'll receive a free hardcopy certificate for each of these courses. QLS Course 01: 2021 Data Science & Machine Learning with R from A-Z QLS Course 02: Excel Pivot Tables, Pivot Charts, Slicers, and Timelines QLS Course 03: Machine Learning with Python 5 CPD QS Accredited Courses: Additionally, our bundle includes 5 relevant CPD QS accredited courses, ensuring that you stay up-to-date with the latest industry standards and practices. Course 01: Python Data Science with Numpy, Pandas and Matplotlib Course 02: R Programming for Data Science Course 03: Statistics & Probability for Data Science & Machine Learning Course 04: Spatial Data Visualisation and Machine Learning in Python Course 05: Google Data Studio: Data Analytics In Addition, you'll get Five Career Boosting Courses absolutely FREE with this Bundle. Course 01: Professional CV Writing Course 02: Job Search Skills Course 03: Self-Esteem & Confidence Building Course 04: Professional Diploma in Stress Management Course 05: Complete Communication Skills Master Class Convenient Online Learning: Our Data Science & Machine Learning, Excel Pivot & Machine Learning with Python courses are accessible online, allowing you to learn at your own pace and from the comfort of your own home. Learning Outcomes: Master the usage of Excel Pivot Tables, Pivot Charts, Slicers, and Timelines. Develop proficiency in Machine Learning using Python. Acquire skills to manipulate data using Numpy, Pandas, and Matplotlib. Learn to code in R for Data Science applications. Understand the application of Statistics & Probability in Data Science & Machine Learning. Learn to create impactful data visualisations and analyse data using Google Data Studio. The "Data Science & Machine Learning, Excel Pivot & Machine Learning with Python" bundle is a comprehensive compilation designed to equip you with the theoretical knowledge necessary for the fast-evolving data-driven world. The three QLS-endorsed courses provide foundational understanding in Data Science, Machine Learning with R, Excel Pivot functionalities, and Machine Learning with Python, thereby setting a strong base. Furthermore, the five CPD QS accredited courses offer a deeper dive into the world of Data Science. Whether it is harnessing Python's power for data science tasks, exploring R programming, mastering statistical techniques, understanding spatial data visualisation in Python, or learning to navigate Google Data Studio for Data Analytics, this bundle has you covered. With this comprehensive learning experience, gain the theoretical insight needed to navigate and succeed in the dynamic field of data science. CPD 250 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Individuals interested in theoretical concepts of Data Science and Machine Learning. Professionals looking to enhance their knowledge in Excel Pivot Tables and Charts. Aspiring data scientists who want to learn Python and R programming for data science. Anyone seeking to understand data visualisation and analytics through Python and Google Data Studio. Career path Data Scientist: Leveraging data for actionable insights (£40,000 - £90,000 per annum). Machine Learning Engineer: Designing and implementing machine learning systems (£50,000 - £90,000 per annum). Excel Analyst: Using Excel for data analysis and visualisation (£30,000 - £60,000 per annum). Python Developer: Developing applications using Python (£40,000 - £80,000 per annum). Certificates Digital certificate Digital certificate - Included Hard copy certificate Hard copy certificate - Included

Log Analytics plays a central role in Azure management by collecting telemetry and other data from a variety of sources and providing a query language and analytics engine that gives you insights into the operation of your applications and resources.  This Azure - Automation and Log Anayltics is designed to instruct you on Azure as it pertains to automation and log analytics. The course especially focuses on two major Azure services: Automation and Log Analytics. Throughout the course, you will learn how to use these two services for making your office work easy. You will learn about creating automation accounts and creating runbooks. In addition, the course will cover creating OMS workspaces and using the Azure Security Center. You will also monitor and systems to maintain availability and performance. The course will provide an introduction to Azure Security Center, and also take a look at detection as a service. Finally, you will be familiarized with the Azure security Centre. What Will I Learn? Create Automation Accounts Create Runbooks Create and View OMS Workspaces Understand the Azure Security Center Requirements Some prior knowledge in Azure is required, or the completion of Introduction to Azure course Introduction Introduction 00:02:00 Azure Automation Azure Automation 00:03:00 Creating Azure Automation Accounts 00:03:00 Automation Assets 00:04:00 Creating Runbooks 00:07:00 Log Analytics Log Analytics Overview 00:03:00 Creating and Viewing OMS Workspaces 00:10:00 Azure Security Center Intro to Azure Security Center 00:04:00 Detection as a Service 00:02:00 ASC Investigations 00:06:00 Conclusion Course Recap 00:03:00 Course Certification