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)
|   |-- GitHub Repositories
|   |-- Power BI Communities (Microsoft Power BI Community, Reddit)

You can refer these Power BI Interview Resources to learn more: https://whatsapp.com/channel/0029VaGgzAk72WTmQFERKh02

Like this post if you want me to continue this Power BI series 👍♥️

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Hope it helps :)