"Power BI Essential topics you can learn day-wise"
Keep in mind that this is an introductory crash course, and Power BI has many advanced features to explore beyond this guide.
Day 1: Introduction to Power BI:
Overview of Power BI: Understand what Power BI is and its key features.
Data Sources: Learn how to connect to various data sources like Excel, SQL Server, and CSV files.
Creating Your First Report: Build a simple report using a single data source.
Day 2: Data Transformation and Modeling
Data Transformation: Clean and shape your data using Power Query Editor.
Data Modeling: Define relationships between tables and create a data model.
Day 3: Visualizations and Reports
Introduction to Visualizations: Explore different types of visuals (bar charts, pie charts, etc.).
Formatting Visuals: Customize the appearance of visuals to improve readability.
Building Reports: Combine visuals to create insightful reports.
Day 4: Dashboards and Interactivity
Dashboards: Design interactive dashboards by pinning visuals from different reports.
Slicers and Filters: Use slicers and filters to allow users to interact with the data.
Day 5: Advanced Visualizations
Drill-through and Drill-down: Enable users to explore data in more detail.
Hierarchies: Create hierarchical views for data analysis.
Custom Visuals: Explore additional visuals available from the Power BI marketplace.
Day 6: DAX (Data Analysis Expressions)
Introduction to DAX: Learn the basics of DAX formulas.
Calculated Columns and Measures: Create calculated columns and measures for advanced calculations.
Day 7: Power BI Service and Sharing
Uploading to Power BI Service: Publish your reports to the Power BI service.
Sharing and Collaboration: Share your dashboards with colleagues.
Mobile Views: Optimize your reports for mobile devices.
Examples:
Day 1 Example: Connect to an Excel file with sales data and create a bar chart showing total sales by product category.
Day 2 Example: Use Power Query Editor to remove duplicates and null values from a dataset.
Day 3 Example: Build a report with a pie chart showing the distribution of customers by region.
Day 4 Example: Create a dashboard with visuals from different reports, and add slicers for filtering by date and product.
Day 5 Example: Implement drill-through functionality to analyze sales data for a specific product category in more detail.
Day 6 Example: Write a DAX formula to calculate the year-to-date sales for each product.
Day 7 Example: Upload your reports to the Power BI service, share it with a colleague, and access it on a mobile device.
Comments