Power BI
Introduction to Business Intelligence
What is Power BI? Understanding the ecosystem (Desktop, Service, and Mobile).
The Power BI Workflow: From data sourcing to report sharing.
Installation & Setup: Setting up the environment and exploring the interface.
Building Your First Visual: A quick-start guide to creating a simple chart.
Data Transformation (Power Query Editor)
Connecting to Data: Importing data from Excel, CSV, Web, and SQL Databases.
Cleaning & Shaping: Removing duplicates, splitting columns, and changing data types.
Advanced Transformations: Merging and Appending queries (Joins vs. Unions).
Conditional Columns: Creating custom logic to categorize data.
Data Modeling & Relationships
The Star Schema: Understanding Fact tables vs. Dimension tables.
Managing Relationships: One-to-many, Many-to-many, and Cross-filter direction.
Data Normalization: Best practices for a clean, efficient model.
Handling Dates: Creating and using a dedicated Calendar table.
DAX (Data Analysis Expressions)
Introduction to DAX: Syntax and the difference between Calculated Columns and Measures.
Essential Functions: SUM, AVERAGE, COUNT, and DISTINCTCOUNT.
Time Intelligence: Calculating Year-to-Date (YTD), Year-over-Year (YoY) growth, and Moving Averages.
The CALCULATE Function: Mastering the most powerful function in Power BI.
Interactive Data Visualization
Choosing the Right Visual: When to use Bar Charts, Line Charts, Scatters, and Maps.
Slicers & Filters: Providing users with interactive control over the data.
Advanced Visual Features: Tooltips, Drill-throughs, and Conditional Formatting.
AI Visuals: Using Decomposition Trees and Key Influencers for automated insights.
Power BI Service & Distribution
Publishing Reports: Moving from Desktop to the Power BI Cloud.
Dashboards vs. Reports: Understanding the difference and when to use each.
Workspaces & Security: Managing user access and Row-Level Security (RLS).
Data Refresh: Scheduling automated updates via Data Gateways.