Now, let's move to the next topic of data analytics roadmap:

Power BI Basics for Data Analytics ✅

What Power BI Does
- Connects to data sources
- Transforms data
- Builds dashboards
- Shares insights

Core Components
- Power BI Desktop: main tool for reports, modeling, and visuals
- Power BI Service: cloud sharing and collaboration

Data Sources
- Excel
- CSV
- SQL Server
- MySQL, PostgreSQL
- Web APIs

Data Loading
- Home → Get Data
- Choose source
- Load or Transform

Power Query Basics
- Clean data before analysis
- Remove duplicates
- Change data types
- Split columns
- Rename columns
- Filter rows

Data Model
- Tables connect using relationships
- One to many is standard
- Avoid many to many early
- Use proper keys

DAX Basics
- Measures run at report level
- Calculated columns run row by row
- Common DAX measures:
- Total Sales = SUM(Sales[Amount])
- Total Orders = COUNT(Sales[OrderID])
- Average Sales = AVERAGE(Sales[Amount])

Time Intelligence Basics
- YTD sales
- MTD sales
- Previous month comparison

Visuals You Must Know
- Table
- Matrix
- Bar chart
- Line chart
- KPI card
- Pie chart

Filters and Slicers
- Page level filters
- Visual level filters
- Slicers for user interaction

Dashboard Design Rules
- One page focus
- Use consistent colors
- Show KPIs on top
- Avoid clutter

Daily Practice Task
- Load a sales Excel file
- Clean data in Power Query
- Create 3 measures
- Build one dashboard page

Power BI Resources: https://whatsapp.com/channel/0029Vai1xKf1dAvuk6s1v22c

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