Power BI Mastery Course (₹99)

From Beginner to Job-Ready | Freshers–3 Years Experience

MODULE 1: Power BI Foundations (Interview Basics)

Goal: Clear fundamentals every interviewer expects

1. What is Power BI & real-world use cases
2. Power BI Desktop vs Service vs Mobile
3. Import vs DirectQuery vs Live Connection
4. Power BI architecture (end-to-end flow)
5. Power BI licenses (Free, Pro, Premium – interview view)

🎯 Interview focus: Architecture, modes, licensing

MODULE 2: Data Sources & Connectivity

Goal: Confidently talk about where data comes from

1. Connecting Excel, CSV, Folder data
2. Connecting SQL Server (concept + demo)
3. Import vs DirectQuery – performance implications
4. Refresh types: Manual, Scheduled, Incremental (concept)

🎯 Interview focus: Data source choice & refresh strategy

MODULE 3: Power Query (Data Cleaning – Must Know)

Goal: One of the most asked fresher/intermediate topics

1. What is Power Query & M language (concept)
2. Removing duplicates, blanks, errors
3. Data types & importance
4. Split, merge, replace values
5. Append vs Merge queries
6. Query folding (concept + impact)

🎯 Interview focus: Data cleaning, transformations, folding

MODULE 4: Data Modeling (HIGH-IMPACT INTERVIEW AREA)

Goal: Strong modeling = strong candidate

1. Fact vs Dimension tables
2. Star schema vs Snowflake schema
3. Creating relationships
4. Cardinality (1:M, M:M)
5. Filter direction (single vs bi-directional)
6. Role-playing dimensions (Date tables)
7. Bridge tables (Many-to-Many concept)

🎯 Interview focus: Modeling decisions & performance

MODULE 5: DAX Fundamentals (Core for All Levels)

Goal: Solid DAX basics without fear

1. What is DAX & when to use it
2. Calculated column vs Measure
3. Basic aggregation functions
4. SUM, COUNT, AVERAGE, DISTINCTCOUNT
5. IF, SWITCH
6. DIVIDE vs /

🎯 Interview focus: Basic DAX logic & use cases

MODULE 6: DAX Context (MOST ASKED TOPIC)

Goal: Crack intermediate interviews

1. Row context explained clearly
2. Filter context explained clearly
3. CALCULATE – why it is powerful
4. ALL vs ALLEXCEPT vs REMOVEFILTERS
5. HASONEVALUE, VALUES
6. Common DAX mistakes

🎯 Interview focus: Context, CALCULATE behavior

MODULE 7: Time Intelligence (Interview Favorite)

Goal: Confidently answer date-based questions

1. Importance of Date table
2. TOTALYTD, MTD, QTD
3. SAMEPERIODLASTYEAR
4. DATEADD, DATESBETWEEN
5. YoY growth calculation
6. Common time intelligence traps

🎯 Interview focus: Date logic & business scenarios

MODULE 8: Visualizations & Report Design

Goal: Build clean, professional dashboards

1. Choosing the right visual
2. Bar, column, line, table, matrix
3. KPI & Card visuals
4. Slicers & filters
5. Drill-down & drill-through
6. Tooltips
7. Visual interaction & cross-filtering

🎯 Interview focus: Visual selection & UX thinking

MODULE 9: Performance Optimization

Goal: Stand out as a smart candidate

1. Why Power BI reports become slow
2. Measures vs calculated columns (performance)
3. Model optimization tips
4. Visual-level optimization
5. Performance Analyzer (concept)

🎯 Interview focus: Optimization mindset

MODULE 10: Power BI Service & Security

Goal: Real corporate knowledge

1. Publishing reports to Service
2. Workspaces & roles
3. Reports vs Dashboards
4. Apps & sharing
5. Row-Level Security (RLS) – static & dynamic
6. Gateway concept

🎯 Interview focus: Sharing, security, governance

MODULE 11: Interview Preparation Module

Goal: Convert skills into a job

1. Most common Power BI interview questions
2. DAX interview patterns
3. Data modeling interview scenarios
4. How to explain projects confidently
5. Fresher vs experienced interview expectations

FINAL: 5 REAL-WORLD PROJECTS (PORTFOLIO READY)

🔹 Project 1: Sales Performance Dashboard (Beginner)

1. KPIs, trends, slicers
2. Basic DAX
3. 📌 For freshers

🔹 Project 2: Finance & Profitability Analysis

1. Profit, margin, YoY
2. Time intelligence
3. 📌 For analyst roles

🔹 Project 3: Customer Segmentation Dashboard

1. DISTINCTCOUNT, filters
2. RLS concept
3. 📌 Business-focused project

🔹 Project 4: Operations / Inventory Dashboard

1. Performance optimization
2. Model design decisions
3. 📌 Intermediate interviews

🔹 Project 5: Executive-Level Dashboard (Advanced)

1. Clean UX
2. Optimized model + advanced DAX
3. 📌 3-year experience level

Bonus

1. Interview MCQs (Power BI + DAX + SQL basics)
2. Resume project descriptions
3. Dataset files
4. Certificate of Completion