Course Content
Lecture 1: Introduction to Power BI
Start with a full understanding of Power BI’s ecosystem, components, and how developers plan, build, and deploy complete BI solutions.
0/7
Introduction To power Bi
20:00
Power BI User Interface & BI Life cycle
30:54
Power BI Connectivity Modes
49:50
Extracting Data from diff sources (Files)
23:47
Assignment (1): Load Data into Power BI
✅ Solution Assignment (1): Load Data into Power BI
02:42
Quiz 1
Lecture 2: Connecting & Transforming Data with Power Query
Learn to connect to different data sources, clean messy data, and automate transformations using Power Query and M language for scalable workflows.
0/11
Extracting Data from diff sources (Folders)
28:28
🧩 Assignment: Extracting Data from diff sources (Folders)
✅ Solution Assignment: Extracting Data from diff sources (Folders)
01:20
Extracting Data from diff sources (Databases, Web and APIS)
15:34
🧩 Assignment:Connecting to Advanced Data Sources (SQL, Web, APIs)
✅ Solution Extracting Data from diff sources (Databases, Web and APIS)
00:58
Evaluating & Understanding Your Dataset
34:05
Cleaning, Shaping & Transforming Data in Power Query
01:09:56
🧩 Assignment: Advanced Data Transformation
✅ Solution Assignment: Advanced Data Transformation
07:13
Quiz 2
Lecture 3: Building a Strong Data Model
Master relationships, cardinality, and star schema design. Build optimized data models that ensure accurate reporting and high performance.
0/7
M code, Custom columns, and debugging Power Query Errors
33:54
🧩 Assignment::M code
✅ Solution Assignment::M code
03:41
Dimensional Modeling, Schemas, and Data Relationships
01:18:39
🧩 Assignment: Build Your Own Data Model
✅ Solution Assignment: Build Your Own Data Model
03:52
Quiz 3
Lecture 4: DAX for Dynamic Analysis
Develop powerful calculated measures and KPIs with DAX. Learn core and advanced functions to unlock interactive and insightful dashboards.
0/7
Dax, Implicit and Quick Measures
01:02:56
🧩 Assignment Basic DAX and Quick Measures
✅ Solution Assignment Basic DAX and Quick Measures
02:39
Explicit Dax
57:34
🧩 Assignment 2 Advanced DAX
✅ Solution Assignment 2 Advanced DAX
06:11
Quiz 4
Lecture 5: Data Visualization Fundamentals
Understand data storytelling and visualization principles — how to choose the right charts, apply color psychology, and present insights effectively.
0/7
Data storytelling fundamentals and Types of analytical applications
39:05
Setting up report layout
11:04
Bar charts variations
40:43
Line Chart
07:11
Pie Charts, Data groups, Students Q&A
33:43
Quiz 5
🎓 Project 1: Tea Sales Insights Dashboard
Lecture 6: Dashboard Design & Layout
Take your dashboards to the next level by learning professional layout structures, layering visuals, consistent branding, and responsive design best practices.
0/7
Scatter plot, Waterfall and other advanced visuals
27:45
Tables, Matrix and Drill downs
11:24
Design a professional scorecard
10:55
AI in Power BI
45:45
Conditional Formatting
45:45
Quiz 6
🎓 Project 2: HR Analytics Dashboard
Lecture 7: UX Design & Interactivity (Buttons, Filters & Navigation)
Bring dashboards to life! Learn how to use buttons, slicers, bookmarks, tooltips, and navigation menus to create a seamless and interactive user experience in Power BI.
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Slicers and filters
47:46
Buttons and designing landing page with smar UX
17:00
Bookmarks
12:25
Dril through page and toolip page
18:03
Paramteres
38:18
Quiz 7
Graduation project Sales Reporting & Analysis Project Guide
0/2
Sales Reporting & Analysis Project Guide
08:59
submit your graduation project.
Advanced Session: Real-World Deployment & Security
Deploy your project professionally — learn how to publish reports, manage workspaces, apply Row-Level Security (RLS), and share dashboards safely with teams or clients.
0/1
Publishing, Security & Real-World Deployment
01:12:43
Power BI Developer Diploma

💡 Description:

This video introduces the art and science of data storytelling — turning raw data into meaningful narratives that drive insight and action.
You’ll learn how to structure stories using visuals, understand your audience, and align your report’s message with business goals.

The session also explores the types of analytical applications commonly built with Power BI.

Each type serves a different audience and decision purpose — knowing when to use which is key to designing impactful BI solutions.

🧠 Trick to Remember:

“Data storytelling = Message + Visual + Emotion.”
Don’t just show data — make people care about it.

🎨 Pro Tip:

Use the “Why → What → How” storytelling framework:

  • Why: The problem or question being answered.
  • What: The key insight or finding.
  • How: The data and visuals that support the insight.

 

📘 Resources

What is Data Storytelling and Data Storytelling Examples | Microsoft Power BI

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