Introduction
Power BI is one of the fastest-growing data skills in 2026.
The good news? You don’t need a technical background to learn it.
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If you follow the right 30-day plan, you can go from zero
to job-ready Power BI user.
In this blog, you’ll get:
A clear day-wise roadmap
What to learn each week
What to practice
What projects to build
How to become interview-ready
This guide is perfect for freshers, working
professionals, and career switchers.
Week 1: Power BI Basics & Foundation (Days 1–7)
Day 1: Understand Power BI
What is Power BI?
Power BI Desktop vs Service
Use cases & real-world
examples
🎯 Goal: Understand why
Power BI is used.
Day 2: Install Power BI Desktop
Download Power BI Desktop
Explore interface
Understand panes (Fields,
Visuals, Filters)
🎯 Goal: Get comfortable
with the tool.
Day 3: Load Data
Import Excel, CSV
Understand tables & columns
Basic data preview
🎯 Goal: Learn how data
enters Power BI.
Day 4: Basic Visuals
Bar chart
Column chart
Line chart
Table & matrix
🎯 Goal: Create your first
report page.
Day 5: Filters & Slicers
Page-level filters
Report-level filters
Slicers for interaction
🎯 Goal: Make reports
interactive.
Day 6: Simple Dashboard Design
Layout basics
Font consistency
Color usage
Alignment
🎯 Goal: Build
clean-looking reports.
Day 7: Practice Day
Recreate a simple sales dashboard
Use filters & visuals
🎯 Outcome: Your first
Power BI dashboard
Week 2: Power Query & Data Cleaning (Days 8–14)
Day 8: Introduction to Power Query
What is Power Query
Why data cleaning matters
Day 9: Data Cleaning
Remove duplicates
Handle null values
Rename columns
Day 10: Transform Data
Split columns
Merge columns
Change data types
Day 11: Append & Merge Queries
Combine multiple files
Join tables
Day 12: Data Modeling Basics
Fact vs Dimension
Relationships
Star schema concept
Day 13: Date Table Basics
Why date table is important
Simple date table creation
Day 14: Practice Project
Clean raw sales data
Build a structured data model
🎯 Outcome: Strong data
preparation skills
Week 3: DAX & Business Calculations (Days 15–21)
Day 15: What is DAX?
Measures vs Calculated Columns
Basic syntax
Day 16: Basic Measures
Total Sales = SUM(Sales[Amount])
Day 17: Common Business Measures
Profit
Profit Margin
Average Sales
Day 18: Time Intelligence
Year-to-Date
Month-to-Date
Year-over-Year
Day 19: Context in DAX
Row context
Filter context
Why DAX behaves differently
Day 20: KPI Cards
Build KPI cards
Conditional formatting
Icons & colors
Day 21: Mini Project
Sales performance dashboard with
KPIs
🎯 Outcome: Business-ready
dashboards
Week 4: Advanced Concepts & Job Prep (Days 22–30)
Day 22: Row-Level Security (RLS)
What is RLS
User-based data security
Day 23: Performance Optimization
Reduce columns
Optimize visuals
Basic DAX optimization
Day 24: Power BI Service
Publish reports
Workspaces
Sharing dashboards
Day 25: Real-World Project Planning
Choose one:
Sales dashboard
HR analytics
Finance P&L
Day 26–27: Build Final Project
Clean data
Build model
Create visuals
Add KPIs
Day 28: Resume Preparation
Add Power BI skills
Mention projects
Highlight business impact
Day 29: Interview Questions Practice
Basic concepts
DAX logic
Real scenarios
Day 30: Review & Publish
Final dashboard polish
Upload project screenshots
Prepare explanation
🎯 Outcome: Interview-ready
Power BI profile
Tools You Should Know Alongside Power BI
Excel (basic to intermediate)
SQL (basic select, where, join)
Business understanding
Common Mistakes to Avoid
❌ Skipping practice
❌
Only watching videos
❌
Ignoring data modeling
❌
No real project
Conclusion
You don’t need months to learn Power BI.
With focused learning and daily practice, 30 days are enough to become
confident and job-ready.
If your goal is career growth in 2026, start today —
consistency matters more than speed.
