Power BI Syllabus

Beginner Level

1. Introduction to Power BI

• Overview of Power BI
  • What is Power BI? Importance in data science
  • Components of Power BI (Power BI Desktop, Power BI Service, Power BI Mobile)

2. Setting Up Power BI

• Installation and Setup
  • Installing Power BI Desktop
  • Overview of the Power BI interface (ribbon, panes, views)

3. Connecting to Data Sources

• Data Connectivity
  • Importing data from various sources (Excel, CSV, databases, web)
  • Overview of data types and data loading

4. Data Transformation with Power Query

• Introduction to Power Query
  • Understanding the Power Query Editor
  • Basic data transformation techniques (filtering, sorting, merging, and appending queries)
  • Cleaning data (removing duplicates, handling missing values)

5. Creating Basic Visualizations

• Basic Charts and Visuals
  • Creating simple visualizations (bar charts, line charts, pie charts)
  • Understanding visualization types and when to use them
• Formatting Visualizations
  • Customizing visual elements (titles, legends, colors)

6. Building a Simple Report

• Report Layout and Design
  • Arranging visuals on the report canvas
  • Adding text boxes, images, and shapes to enhance reports

Intermediate Level

1. Advanced Data Transformation

• Using DAX for Calculated Columns and Measures
  • Introduction to DAX (Data Analysis Expressions)
  • Creating calculated columns and measures
  • Understanding row context and filter context

2. Advanced Visualizations

• Custom Visuals and Advanced Charting Techniques
  • Exploring custom visuals from AppSource
  • Implementing advanced visualizations (scatter plots, waterfall charts, heat maps)

3. Data Modeling

• Building a Data Model
  • Understanding relationships (one-to-many, many-to-many)
  • Creating and managing relationships in Power BI
  • Star schema vs. snowflake schema

4. Enhancing Reports with Interactivity

• Adding Filters and Slicers
  • Implementing report filters and slicers for interactivity
  • Using drill-through and tooltip pages
• Bookmarks and Selection Pane
  • Creating bookmarks for navigation
  • Using the selection pane for better report management

5. Introduction to Power BI Service

• Publishing and Sharing Reports
  • Publishing reports to Power BI Service
  • Understanding workspaces and app creation
  • Sharing reports and dashboards with users

Advanced Level

1. Advanced DAX Techniques

• Complex DAX Calculations
  • Time intelligence functions (YTD, MTD, QTD)
  • Advanced filter functions (CALCULATE, FILTER)

2. Performance Optimization

• Optimizing Data Models
  • Best practices for data model design
  • Improving performance with aggregations and measures

3. Advanced Analytics Features

• Using AI Insights
  • Implementing AI visuals (Q&A, key influencers)
  • Using the built-in analytics pane for trend analysis

4. Row-Level Security (RLS)

• Implementing Row-Level Security
  • Understanding RLS and its applications
  • Configuring RLS in Power BI for user-specific data access

5. Data Refresh and Scheduling

• Setting Up Data Refresh
  • Understanding data refresh options in Power BI Service
  • Scheduling data refreshes for real-time insights

6. Integration with Other Tools

• Integrating Power BI with Excel and Azure
  • Using Power BI with Excel for enhanced data analysis
  • Connecting Power BI to Azure services (Azure SQL Database, Azure Analysis Services)