Post #2531

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 Double Tap ♥️ For More