Skip to content

Developed strong understanding of algorithm design, optimization, and step-by-step logic building 🎯 Gained hands-on practice in DSA patterns, recursion, sorting, searching, and interview-oriented problem solving πŸš€

Notifications You must be signed in to change notification settings

Ashwin18-Offcl/DSA_Notes

Repository files navigation

DAX Notes Banner

πŸ“ DAX Notes β€” Beginners to Advanced

A concept-first, example-driven repository for mastering DAX (Data Analysis Expressions) from fundamentals to advanced business calculations used in Power BI, Excel Power Pivot, and SSAS.


πŸ”₯ Repository Stats


πŸš€ What’s Inside?

Level Topics Covered
πŸ”Ή Fundamentals What is DAX, Measures vs Columns
πŸ“Š Context Row Context, Filter Context
πŸ“ Core Functions SUM, AVERAGE, COUNT, CALCULATE
🧠 Logical DAX IF, SWITCH, HASONEVALUE
βš™οΈ Time Intelligence YTD, MTD, SAMEPERIODLASTYEAR
πŸ“ˆ Advanced DAX ALL, ALLEXCEPT, VALUES
🏭 Business Use KPIs, Ratios, Growth Metrics

🧠 Why Learn DAX?

βœ” Backbone of Power BI analytics
βœ” Enables custom business calculations
βœ” Essential for Data Analyst & BI roles
βœ” Converts visuals into true insights
βœ” Used in real-world reporting & dashboards


🎯 Objectives of This Repository

  • Build strong conceptual clarity in DAX
  • Understand how DAX really works internally
  • Learn context-driven calculations step-by-step
  • Bridge the gap between syntax and business logic
  • Prepare learners for industry dashboards & interviews

🌟 Importance of DAX

  • πŸ”Ή Core calculation language for Power BI
  • πŸ”Ή Enables dynamic KPIs & measures
  • πŸ”Ή Powers advanced analytics & time intelligence
  • πŸ”Ή Essential for performance-optimized dashboards
  • πŸ”Ή Foundation for professional BI development

πŸ“¦ What This Repository Covers

Level Coverage
🟒 Beginner DAX Basics, Syntax, Measures
🟑 Intermediate Context, CALCULATE, Filters
πŸ”΅ Advanced Time Intelligence, Optimization
πŸ”΄ Industry Real Business Scenarios

🧭 DAX Learning Roadmap (UI/UX Styled Flow)

flowchart LR

    A[Start DAX Journey]:::start --> B[DAX Fundamentals]:::basic
    B --> C[Measures vs Columns]:::basic

    C --> D[Row Context]:::intermediate
    C --> E[Filter Context]:::intermediate

    D --> F[CALCULATE Function]:::algo
    E --> F

    F --> G[Logical Functions]:::advanced
    G --> H[Time Intelligence]:::advanced

    H --> I[Advanced Filters]:::advanced
    I --> J[Business KPIs]:::deploy

    J --> K[Real-World Power BI Dashboards]:::deploy

    classDef start fill:#0f172a,color:#ffffff,stroke:#38bdf8,stroke-width:2px
    classDef basic fill:#ecfeff,color:#0f172a,stroke:#06b6d4,stroke-width:2px
    classDef intermediate fill:#fef3c7,color:#78350f,stroke:#f59e0b,stroke-width:2px
    classDef algo fill:#ede9fe,color:#4c1d95,stroke:#8b5cf6,stroke-width:2px
    classDef advanced fill:#dcfce7,color:#14532d,stroke:#22c55e,stroke-width:2px
    classDef deploy fill:#fee2e2,color:#7f1d1d,stroke:#ef4444,stroke-width:2px
Loading

🧠 Key Concepts You Will Learn

πŸ”Ή Core Foundations What is DAX? Measures vs Calculated Columns Evaluation Context

πŸ”Ή Context Handling Row Context Filter Context Context Transition

πŸ”Ή Core Functions SUM, COUNT, AVERAGE CALCULATE, FILTER ALL, VALUES

πŸ”Ή Logical & Conditional DAX IF, SWITCH HASONEVALUE ISBLANK

πŸ”Ή Time Intelligence YTD, MTD, QTD SAMEPERIODLASTYEAR DATEADD

πŸ”Ή Business Analytics KPIs & Ratios Growth & Variance Performance Metrics


πŸ› οΈ Tools & Technologies Used

Tool Purpose
Power BI Dashboard & DAX Development
DAX Analytical Calculations
Excel Power Pivot DAX Practice
Data Modeling Relationships & Schema
Business Logic Insight Generation

πŸ‘₯ Who This Repository Is For

βœ” Students & Beginners βœ” Power BI Learners βœ” Faculty & Trainers βœ” Data Analysts & BI Developers βœ” Interview & Exam Preparation


πŸ§‘β€πŸ’» Author

Ashwin Ananta Panbude Data Analyst | Faculty



About

Developed strong understanding of algorithm design, optimization, and step-by-step logic building 🎯 Gained hands-on practice in DSA patterns, recursion, sorting, searching, and interview-oriented problem solving πŸš€

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published