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Use Data Analysis Expressions (DAX) to create advanced calculations in Power BI and improve data analysis.
Learn how to create complex data models that capture business metrics and insights.
Create Power BI reports and dashboards that allow end-users to explore data and gain insights.
1.1 Introduction to DAX
1.1.1 What is DAX?
1.1.2 What is a Data Model?
1.1.3 Components of a Data Model
1.2 Calculated Columns vs Calculated Measures
1.3 Formatting & Comments in DAX
1.4 Aggregate Functions (SUM, AVG, MIN, MAX)
1.5 ‘X’ Aggregators (SUMX,AVGX, etc)
1.6 Exercises on SUMX (Practical use cases)
2.1 DAX Formula & Storage Engine
2.1.1 What is Vertipaq?
2.1.2 Value & Hash Encoding Concept
2.2 DAX Evaluation Context (Row vs Filter)
2.3 Concept of CALCULATE function in DAX
2.4 Date Functions (Year, Month) & working of DATE Master
2.5 Time Series Analysis (YTD, QTD, MTD, MoM, etc)
2.6 Case Study on Time Series (Sales Analysis)
3.1 TABLE Functions (Filter, All, Values, Related, etc)
3.2 IF statements and Conditional Logic
3.3 SWITCH statements
3.4 Advanced Variable Structure in DAX
3.5 Filter Functions
3.5.1 ALL vs ALLSELECTED VS ALLEXCEPT with practical examples
3.5.2 LOOKUPVALUE, KEEPFILTERS, EARLIEST with practical examples
3.6 RANKX vs TOPN (With Practical Examples)
3.7 Information Functions
3.7.1 CONTAINSSTRING
3.7.2 HASONEFILTER vs HASONEVALUE3.7.3 ISBLANK
4.1 Summarize Table
4.2 Alternative Relationship
4.3 SUMMARIZECOLUMNS with practical use case
4.4 ADDCOLUMNS
4.5 GROUPBY | CURRENTGROUP
4.6 GROUPBY Double Aggregation
5.1 Introduction to JOINS
5.2 Standard Relationship vs How to Join tables without a Relationship
5.3 CROSSJOIN vs GENERATE Functions
5.4 Concept of Lineage5.5 Understanding of UNION & INTERSECT
6.1 DAX Studio
6.1.1 Purpose & Installation Guide
6.1.2 Debugging Using Variables
6.1.3 Debugging Calculated Measures
6.2 Optimizing Data Models
6.2.1 Performance Tuning Techniques
6.2.2 DAX Optimization Techniques
7.1 Understanding the importance of DAX for visualisation
7.2 Trend Visual in Stack column charts
7.3 Enhance the Bar Charts using DAX
7.4 Working with Dynamic Titles
7.5 Stock Market Trend line - Visualization
8.1.1 Understanding MOVING AVERAGES
8.1.2 How to Calculate Moving Averages for sales.
8.1.3 Moving Average Verification.
8.1.4 Creating Dynamic Moving Averages.
8.2 Two Table comparision to calculate total paid subscribers.
8.3 How to get top 3 products basis sales in a monthly date table.
✓ This Course will cover everything about DAX. If you are a beginner or expert in Power BI,
✓ This course will help you ace your DAX journey. Watch this series completely and you don't have to go anywhere for DAX.
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