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.
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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
🧩 1 Assignment: Load Data into Power BI
✅ Solution 1 Assignment: 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.
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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.
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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.
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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.
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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.
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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
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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.
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Publishing, Security & Real-World Deployment
01:12:43
Power BI Developer Diploma

Dive into Power BI Desktop and get hands-on with the Home, View, and Modeling tabs. Then, uncover the Business Intelligence Life Cycle — from data collection to analysis and action — to understand how Power BI fits into end-to-end BI processes

🔄 The BI Life Cycle Steps:

  1. 🧠 Gathering Requirements – Define your business goals, assess challenges, and plan your analysis roadmap.
  2. 🧹 Preparing Data – Design your data model, clean your data, and build your data warehouse.
  3. 📊 Analyzing & Reporting – Transform your data into stunning interactive dashboards and reports.
  4. 🚀 Taking Action – Use insights to drive data-backed decisions and measure KPIs effectively.
  5. 🔁 Repeating the Cycle – Continuously improve by reviewing outcomes and refining your BI strategy.

 

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