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Skill Development Courses
Power BI Course
Power BI Course
Curriculum
10 Sections
52 Lessons
10 Days
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➢ Introduction to Power BI and Data Loading
7
1.1
Overview of Business Intelligence and Power BI
1.2
Components of Power BI: Power BI Desktop, Service, Mobile
1.3
Installing Power BI Desktop
1.4
Data sources overview
1.5
Importing data from Excel/CSV
1.6
Data transformation basics using Power Query
1.7
Saving and publishing reports
➢ Power Query & Data Transformation
6
2.1
Introduction to Power Query Editor
2.2
Data cleaning: Remove duplicates, errors, blanks
2.3
Splitting/merging columns
2.4
Unpivoting data
2.5
Column data types and formatting
2.6
Conditional columns, Applied Steps
➢ Data Modeling
6
3.1
Understanding data modeling concepts
3.2
Relationships between tables (1-to-many, many-to-many)
3.3
Creating a star schema
3.4
Primary keys and foreign keys
3.5
Cardinality and filter directions
3.6
Best practices in data modeling
➢ DAX Basics (Data Analysis Expressions)
5
4.1
Understanding DAX
4.2
Creating Calculated Columns & Measures
4.3
Basic DAX functions: SUM, AVERAGE, COUNT, and DISTINCTCOUNT
4.4
Filter functions: CALCULATE, FILTER, ALL
4.5
Using variables in DAX
➢ Advanced DAX
4
5.1
Time Intelligence: YTD, QTD, MTD, SAMEPERIODLASTYEAR
5.2
IF, SWITCH, RANKX
5.3
DAX performance tips
5.4
Handling blanks and errors
➢ Visualizations & Charts
5
6.1
Types of visuals: Bar, Line, Pie, Map, Card, Table, Matrix
6.2
Customizing visual elements
6.3
Sorting, filtering, and formatting visuals
6.4
Tooltips, slicers, and filters
6.5
Bookmarks and drill through
➢ Advanced Visuals & Interactions
5
7.1
Using custom visuals from the marketplace
7.2
KPI visuals
7.3
Syncing slicers across pages
7.4
Grouping and binding data
7.5
Interactive dashboard
➢ Power BI Service & Sharing Reports
5
8.1
Publishing to Power BI Service
8.2
Creating and managing workspaces
8.3
Sharing and embedding reports
8.4
Creating dashboards in Power BI Service
8.5
Data refresh & gateway setup
➢ Row-Level Security (RLS) & Performance Optimization
5
9.1
Implementing RLS
9.2
Creating security roles
9.3
Testing roles
9.4
Performance tuning for large datasets
9.5
DAX Studio basics
➢ Capstone Project & Q&A
4
10.1
Building a complete Power BI report from scratch
10.2
Applying DAX, visuals, RLS, and data modeling
10.3
Real-world dataset (e.g., sales, HR, finance)
10.4
Review and Q&A session
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