Online self-paced, learn anytime, anywhere.

Data Analytics and Business Intelligence using Power BI

This course aims to expose learners to the practical concepts of data and analytics. In this course, students will learn about data analytics concepts such as what data is, types of data, types of analytics and tools used in data analysis. Students will learn the six core processes of data analysis and how to build and deploy analytical solutions from start to finish using the latest business intelligence tools.

₦75,000.00



Enrollment close
Hero

Overview

This course is packed with practical concepts and hands-on projects to give students the experience they need to succeed in their analytic careers. Taught by industry experts with years of experience in data analysis implementation. The curriculum is designed after many interviews with employers to understand their needs and requirements for the role of a data analyst in their organizations.

The course starts from fundamentals to advanced concepts so learners of any level of experience can join. The course also takes you from zero to hero in data analysis. Throughout this course, you will be doing projects from the first modules to the final module. You will learn by doing projects so you will finish the course with a portfolio of projects to show to recruiters.

Course objectives

By the end of this course, you'll be able to:

  1. Understand the overview of data and analytics
  2. Master Data analytics with SQL and Power BI
  3. Create stunning dashboards designs
  4. Master basic maths and statistics for data analysis
  5. Know what data is
  6. Define data analysis
  7. Know data analysis processes
  8. Know the difference between data analysis and data science
  9. Know the different types of data and analytics
  10. Know the various data analytic tools and frameworks
  11. Transform data
  12. Model data
  13. Create calculations using DAX
  14. Learn how to use the different types of charts and visualizations
  15. Master advanced concepts in data analysis
  16. Create analytical solutions from start to finish
  17. Create portfolio of projects
  18. and lots more

Course curriculum

1. Module introduction

2. Download resources

3. Data analytic processes

4. What is Power BI

5. Download and install Power BI

6. Creating account on Power BI Service

7. Power BI environment - Design view

8. Power BI environment - Power query editor

9. Guided project introduction

10. Understanding the datasets

11. Introduction to data cleaning

12. Basic data calculations - Revenue

13. Basic data calculations - Expenses

14. Basic data calculations - Profit

15. Basic data calculations - Profit %

16. Introduction to charts

17. Import image background

18. Create a title: SALES SUMMARY

19. Create a section for KPIs

20. Add Revenue calculation to the dashboard

21. Add Expenses calculation to the dashboard

22. Add Profit calculation to the dashboard

23. Add Profit % calculation to the dashboard

24. Set Transparency on the KPI section

25. Add slicer to filter the dashboard

26. Upload your work to Power BI Service

27. Get a sharable link on Power BI Service

28. Enable admin settings on Power BI Service

29. Module 1 review

1. Module Introduction

2. Download resources

3. Identify and load data into Power BI

4. Data cleaning - Remove null from data

5. Data cleaning - Remove unwanted columns from data

6. Data cleaning - Check data type

7. Data cleaning - Remove strings from data

8. Close and apply changes

1. Module Introduction

2. Download resources

3. Identify and load data

4. Data cleaning - Transpose data

5. Data cleaning - Fill and change column names

6. Data cleaning - Unpivot columns

7. Data cleaning - Check data type

8. Practice assignment

9. Course module review

10. Data transformation solution

1.Module Introduction

2. Download resources

3. Open module 1 project and be in Power Query Editor

4. How to work with merge queries

5. Combine data using Append queries - part1

6. Combine data using Append queries - part2

7. Merge two columns together

8. Fill null with data

9. How to Unpivot data

10. How to Pivot data

11. Check the data save changes

12. Creating Calendar table part 1

13. Creating Calendar table part 2

14. Creating Calendar table part 3

1. Introduction

2. Download module resources

3. What happens without a data model

4. Understanding Dimensions and Facts tables

5. Data normalization - part 1

6. Data normalization - part 2

7. Data normalization part 3

8. Data normalization - Sales table

9. Data normalization - Customers table

10. Data normalization - Products table

11. Data normalization - Categories table

12. Test the data model

13. Create a data model on sales summary dashboard part1

14. Create a data model on sales summary dashboard part2

15. Practice assignment

16. Course module review

1. Introduction

2. Download module resources

3. Dashboard layout - Create dashboard page and nav section

4. Dashboard layout - Create slicer section

5. Dashboard layout - Create KPI section

6. Dashboard layout - Create Sales By Month section

7. Dashboard layout - Create three last sections

8. Dashboard layout - Arrange KPIs text

9. Types of calculations to create

10. Create tables to group measures

11. Add Revenue measure to the dashboard

12. Understanding the Revenue measure

13. Creating Previous Month Calculation

14. Creating Previous Month Percent Calculation

15. Apply conditional formatting on Revenue MOM

16. Arrange PM and MOM Revenue

17. Create monthly revenue trend

18. Copy visuals for the expenses section

19. Change values for expenses visual

20. Copy visuals for the profit

21. Create total order measure

22. Bring the total orders calculation to the dashboard

23. Disable month filter on charts

24. Create sales by month chart

25. Sales by month explanation

26. Sales by customer gender

27 . Sales By products

28. Create Sales by branch

29. Sales By Product Category

30. Create a layout for branch sales details

31. Add visual to the drill through page

32. Adding a button for drill through

33. Link Executive Summary page to the dashboard

34. Adding a page navigator to the dashboard

Projects you'll create

Build projects you can showcase in your CV. Every project has a problem statement you're required to solve to give you the confidence you need to succeed in a any company. Projects are aligned with employer's requirements for a position in this field.

Hero
Flying Bat Flying Bat

It's practical all through. No theory, no jagon, only practical.

Enrollment close

Join thousands on TalentDigit

Avatar

I loved the fact that it is hands on and the instructors are always available and patient enough to ensure all queries are attended to. I am highly satisfied.

Ishola Abisoye
Avatar

I enjoyed the practical step by step guide with positive outcomes. I am so happy I took the decision to enroll in this course. I can't wait to start the next module.

Chike Dickson
Avatar

The course is 100% practical. It's beginner friendly and the instructor is very knowledgeable. I will truly recomment you guys.

Emmanuel Nnadi
Avatar

I had zero knowledge of Power BI and wanted to learn and make project on it . This course gave me a jist of what power BI is and I can create projects on my own.

Paul Edem