*Power BI Learning Plan in 2025* |-- Week 1: Introduction to Power BI | |-- Power BI Basics | | |-- What is Power BI? | | |-- Components of Power BI | | |-- Power BI Desktop vs. Power BI Service | |-- Setting up Power BI | | |-- Installing Power BI Desktop | | |-- Overview of the Interface | | |-- Connecting to Data Sources | |-- First Power BI Report | | |-- Creating a Simple Report | | |-- Basic Visualizations | |-- Week 2: Data Transformation and Modeling | |-- Power Query Editor | | |-- Importing and Shaping Data | | |-- Applied Steps | |-- Data Modeling | | |-- Relationships | | |-- Calculated Columns and Measures | | |-- DAX Basics | |-- Data Cleaning | | |-- Handling Missing Data | | |-- Data Types and Formatting | |-- Week 3: Advanced DAX and Data Modeling | |-- Advanced DAX Functions | | |-- Time Intelligence | | |-- Iterators | | |-- Filter Functions | |-- Advanced Data Modeling | | |-- Star and Snowflake Schemas | | |-- Role-playing Dimensions | |-- Performance Optimization | | |-- Query Performance | | |-- Model Performance | |-- Week 4: Visualizations and Reports | |-- Advanced Visualizations | | |-- Custom Visuals | | |-- Conditional Formatting | | |-- Interactive Elements | |-- Report Design | | |-- Designing for Clarity | | |-- Using Themes | | |-- Report Navigation | |-- Power BI Service | | |-- Publishing Reports | | |-- Workspaces and Apps | | |-- Sharing and Collaboration | |-- Week 5: Dashboards and Data Analysis | |-- Creating Dashboards | | |-- Pinning Visuals | | |-- Dashboard Tiles | | |-- Alerts | |-- Data Analysis Techniques | | |-- Drillthrough | | |-- Bookmarks | | |-- What-If Parameters | |-- Advanced Analytics | | |-- Quick Insights | | |-- AI Visuals | |-- Week 6-8: Power BI and Other Tools | |-- Power BI and Excel | | |-- Excel Integration | | |-- PowerPivot and PowerQuery | | |-- Publishing from Excel | |-- Power BI and R | | |-- Using R Scripts in Power BI | | |-- R Visuals | |-- Power BI and Python | | |-- Using Python Scripts | | |-- Python Visuals | |-- Power Automate and Power BI | | |-- Automating Workflows | | |-- Data Alerts and Actions | |-- Week 9-11: Real-world Applications and Projects | |-- Capstone Project | | |-- Project Planning | | |-- Data Collection and Preparation | | |-- Building and Optimizing the Model | | |-- Creating and Publishing Reports | |-- Case Studies | | |-- Business Use Cases | | |-- Industry-specific Solutions | |-- Integration with Other Tools | | |-- SQL Databases | | |-- Azure Data Services | |-- Week 12: Post-Project Learning | |-- Power BI Administration | | |-- Data Governance | | |-- Security | | |-- Monitoring and Auditing | |-- Power BI in the Cloud | | |-- Power BI Premium | | |-- Power BI Embedded | |-- Continuing Education | | |-- Advanced Power BI Topics | | |-- Community and Forums | | |-- Keeping Up with Updates | |-- Resources and Community | |-- Online Courses (Coursera, edX, Udacity) | |-- Books (The Definitive Guide to DAX, Microsoft Power BI Cookbook) | |-- Power BI Blogs and Resources | |-- GitHub Repositories | |-- Power BI Communities (Microsoft Power BI Community, Reddit) Like this post if you want me to continue this Power BI series 👍♥️ Hope it helps :)