Microsoft Power BI: Data Visualization & Business Reporting
Last Updated:
21 May 2026
Number of Students:
3 Students
Accreditation:
CPD Accredited
Prerequisites:
No formal qualification required (Anyone can participate)
Course Rating:
4.8 out of 5
Key features of the Microsoft Power BI: Data Visualization & Business Reporting
- Recognised qualification upon successful completion of the course
- Study from anywhere, anytime, whenever it is convenient for you.
- Get 24/7 support from our Customer Success Team
- Affordable and engaging e-learning study materials
- Study at your own pace from a tablet, PC or smartphone
- Online tutor support when you are in need.
Who is this course for?
There is no experience or previous qualifications required for enrolment on this course. It is available to all students, of all academic backgrounds.
Requirements
Our Microsoft Power BI: Data Visualization & Business Reporting is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation.
Career Path
After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market.
Course Curriculum
16 Sections | 141 Lessons
Welcome!
1m
What is Power BI?
3m
Download & Installing Power BI Desktop
4m
Getting to know the interface
3m
Mini Project: Transform Data
7m
Mini Project: Visualize Data
5m
Mini Project: Creating a Data Model
7m
Course Outline: What will you learn in this course?
5m
How to learn best with this course?
3m
Creating our initial project file
4m
Working with the attached project files
4m
Exploring the Query Editor
6m
Connecting to our data source
7m
Editing rows
8m
Changing data types
8m
Replacing values
3m
Close & Apply
3m
Connecting to a csv file
3m
Connecting to a web page
5m
Extracting characters
6m
Splitting & merging columns
9m
Creating conditional columns
6m
Creating columns from examples
9m
Merging Queries
17m
Pivoting & Unpivoting
6m
Appending Queries
8m
Practice & Solution: Population table
14m
The Fact-Dimension-Model
9m
Practice: Load the dimension table
4m
Organizing our queries in groups
3m
Entering data manually
5m
Creating an index column
3m
Workflow & more transformations
5m
Module summary
5m
Exercise 1 – Instruction
2m
Exercise 1 – Exercise Solution
11m
Advanced Editor - Best practices
9m
Performance: References vs. Duplicating
10m
Performance: Enable / Disable Load & Report Refresh
5m
Group by
5m
Mathematical Operations
5m
Run R Script
15m
Using Parameters to dynamically transform data
6m
M formula language: Basics
7m
M formula language: Values, Lists & Tables
14m
M formula language: Functions
13m
M formula language: More functions & steps
5m
Exercise 2 – Instructions
1m
Exercise 2 - solution
5m
Understanding the relationship
5m
Create & edit relationships
6m
One-to-many & one-to-one relationship
6m
Many-to-many (m:n) relationship
8m
Cross filter direction
6m
Activate & deactivate relationships
6m
Model summary
3m
Exercise 3 Create Model
2m
Exercise 3 Solution
2m
Our first visual
8m
The format tab
12m
Understanding tables
10m
Conditional formatting
9m
The Pie Chart
6m
All about the filter visual
13m
The filter pane for developers
9m
Cross filtering & edit interactions
4m
Syncing slicers across pages
7m
Creating drill downs
8m
Creating drill throughs
7m
The tree map visual
7m
The decomposition tree
5m
Understanding the matrix visual
5m
Editing pages
7m
Buttons & Actions
9m
Bookmarks to customize your report
10m
Analytics and Forecasts with line charts
10m
Working with custom visuals
7m
Get data using R Script & R Script visual
8m
Asking questions - Q&A visual
4m
Wrap up - data visualization
8m
Python in Power BI - Plan of attack
3m
Setting up Python for Power BI
3m
Transforming data using Python
11m
Creating visualizations using Python
8m
Violin plots, pair plots & ridge plots using Python
15m
Machine learning (BayesTextAnalyzer) using Python
Performance & Troubleshooting
3m
Introduction
1m
Show Empathy & Identify the Requirement
3m
Finding the Most Suitable KPI’s
2m
Choose an Effective Visualization
4m
Make Use of Natural Reading Pattern
3m
Tell a Story Using Visual Cues
5m
Avoid Chaos & Group Information
2m
Warp Up – Storytelling with Data
2m
Introduction
3m
The project data
4m
Measures vs. Calculated Columns
15m
Automatically creating a date table in DAX
8m
CALENDAR
5m
Creating a complete date table with features
4m
Creating key measure table
3m
Aggregation functions
6m
The different versions of COUNT
14m
SUMX - Row based calculations
9m
CALCULATE - The basics
11m
Changing the context with FILTER
7m
ALL
8m
ALL SELECTED
3m
ALL EXCEPT
7m
How to go on now?
3m
Power BI Pro vs Premium & Signing up
4m
Exploring the interface
4m
Discovering your workspace
3m
Connecting Power BI Desktop & Cloud
4m
Understanding datasets & reports
3m
Working on reports
4m
Updating reports from Power BI Desktop
4m
Creating and working with workspaces
7m
Installing & using a data gateway
13m
Get Quick Insights
3m
Creating dashboards
4m
Sharing our results through Apps
10m
Power BI Mobile App
5m
Creating the layout for the Mobile App
4m
Wrap up - Power BI Cloud
7m
Introduction
3m
Creating a Row-Level Security
5m
Row-Level Security in the Cloud
4m
Row-Level Security & Data Model
5m
Dynamic Row-Level Security
7m
Dynamic Many-to-Many RLS
4m
Hierarchical Row-Level Security
1m
JSON & REST API
10m
Setting up a local MySQL database
14m
Connecting to a MySQL database in Power BI
5m
Connecting to a SQL database (PostgreSQL)
5m
Congratulations & next steps
6m
The End
1m
Resources – Microsoft Power BI: Data Visualization & Business Reporting
Order Your Certificates or Transcripts
Course Reviews
No reviews yet.
Key features of the Microsoft Power BI: Data Visualization & Business Reporting
- Recognised qualification upon successful completion of the course
- Study from anywhere, anytime, whenever it is convenient for you.
- Get 24/7 support from our Customer Success Team
- Affordable and engaging e-learning study materials
- Study at your own pace from a tablet, PC or smartphone
- Online tutor support when you are in need.
Who is this course for?
There is no experience or previous qualifications required for enrolment on this course. It is available to all students, of all academic backgrounds.
Requirements
Our Microsoft Power BI: Data Visualization & Business Reporting is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation.
Career Path
After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market.
16 Sections | 141 Lessons
Welcome!
1m
What is Power BI?
3m
Download & Installing Power BI Desktop
4m
Getting to know the interface
3m
Mini Project: Transform Data
7m
Mini Project: Visualize Data
5m
Mini Project: Creating a Data Model
7m
Course Outline: What will you learn in this course?
5m
How to learn best with this course?
3m
Creating our initial project file
4m
Working with the attached project files
4m
Exploring the Query Editor
6m
Connecting to our data source
7m
Editing rows
8m
Changing data types
8m
Replacing values
3m
Close & Apply
3m
Connecting to a csv file
3m
Connecting to a web page
5m
Extracting characters
6m
Splitting & merging columns
9m
Creating conditional columns
6m
Creating columns from examples
9m
Merging Queries
17m
Pivoting & Unpivoting
6m
Appending Queries
8m
Practice & Solution: Population table
14m
The Fact-Dimension-Model
9m
Practice: Load the dimension table
4m
Organizing our queries in groups
3m
Entering data manually
5m
Creating an index column
3m
Workflow & more transformations
5m
Module summary
5m
Exercise 1 – Instruction
2m
Exercise 1 – Exercise Solution
11m
Advanced Editor - Best practices
9m
Performance: References vs. Duplicating
10m
Performance: Enable / Disable Load & Report Refresh
5m
Group by
5m
Mathematical Operations
5m
Run R Script
15m
Using Parameters to dynamically transform data
6m
M formula language: Basics
7m
M formula language: Values, Lists & Tables
14m
M formula language: Functions
13m
M formula language: More functions & steps
5m
Exercise 2 – Instructions
1m
Exercise 2 - solution
5m
Understanding the relationship
5m
Create & edit relationships
6m
One-to-many & one-to-one relationship
6m
Many-to-many (m:n) relationship
8m
Cross filter direction
6m
Activate & deactivate relationships
6m
Model summary
3m
Exercise 3 Create Model
2m
Exercise 3 Solution
2m
Our first visual
8m
The format tab
12m
Understanding tables
10m
Conditional formatting
9m
The Pie Chart
6m
All about the filter visual
13m
The filter pane for developers
9m
Cross filtering & edit interactions
4m
Syncing slicers across pages
7m
Creating drill downs
8m
Creating drill throughs
7m
The tree map visual
7m
The decomposition tree
5m
Understanding the matrix visual
5m
Editing pages
7m
Buttons & Actions
9m
Bookmarks to customize your report
10m
Analytics and Forecasts with line charts
10m
Working with custom visuals
7m
Get data using R Script & R Script visual
8m
Asking questions - Q&A visual
4m
Wrap up - data visualization
8m
Python in Power BI - Plan of attack
3m
Setting up Python for Power BI
3m
Transforming data using Python
11m
Creating visualizations using Python
8m
Violin plots, pair plots & ridge plots using Python
15m
Machine learning (BayesTextAnalyzer) using Python
Performance & Troubleshooting
3m
Introduction
1m
Show Empathy & Identify the Requirement
3m
Finding the Most Suitable KPI’s
2m
Choose an Effective Visualization
4m
Make Use of Natural Reading Pattern
3m
Tell a Story Using Visual Cues
5m
Avoid Chaos & Group Information
2m
Warp Up – Storytelling with Data
2m
Introduction
3m
The project data
4m
Measures vs. Calculated Columns
15m
Automatically creating a date table in DAX
8m
CALENDAR
5m
Creating a complete date table with features
4m
Creating key measure table
3m
Aggregation functions
6m
The different versions of COUNT
14m
SUMX - Row based calculations
9m
CALCULATE - The basics
11m
Changing the context with FILTER
7m
ALL
8m
ALL SELECTED
3m
ALL EXCEPT
7m
How to go on now?
3m
Power BI Pro vs Premium & Signing up
4m
Exploring the interface
4m
Discovering your workspace
3m
Connecting Power BI Desktop & Cloud
4m
Understanding datasets & reports
3m
Working on reports
4m
Updating reports from Power BI Desktop
4m
Creating and working with workspaces
7m
Installing & using a data gateway
13m
Get Quick Insights
3m
Creating dashboards
4m
Sharing our results through Apps
10m
Power BI Mobile App
5m
Creating the layout for the Mobile App
4m
Wrap up - Power BI Cloud
7m
Introduction
3m
Creating a Row-Level Security
5m
Row-Level Security in the Cloud
4m
Row-Level Security & Data Model
5m
Dynamic Row-Level Security
7m
Dynamic Many-to-Many RLS
4m
Hierarchical Row-Level Security
1m
JSON & REST API
10m
Setting up a local MySQL database
14m
Connecting to a MySQL database in Power BI
5m
Connecting to a SQL database (PostgreSQL)
5m
Congratulations & next steps
6m
The End
1m
Resources – Microsoft Power BI: Data Visualization & Business Reporting
Order Your Certificates or Transcripts
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