Power Bi Training

About Course

This comprehensive course is designed to help data analysts and Power BI users master DAX (Data Analysis Expressions). Whether you’re building financial models, optimizing reports, or analyzing business trends, this course equips you with the skills to implement complex calculations, filter data dynamically, and structure time-based analytics.

By the end of this course, learners will be able to write advanced DAX formulas, create intelligent reports, and leverage data modeling best practices to drive data-driven decision-making.

Introduction to DAX – Covers syntax, functions, and best practices for writing effective formulas.
Date & Time Functions – Teaches how to track trends and compare data with CALENDAR, TODAY, and SAMEPERIODLASTYEAR.
Filtering Techniques – Explores functions like CALCULATE, FILTER, ALL, and ALLEXCEPT for refining datasets and performing complex aggregations.
Managing Relationships Across Tables – Explains RELATED and USERELATIONSHIP to optimize data connections.
Logical Conditions & Error Handling – Covers functions like IF, SWITCH, and IFERROR to create dynamic, intelligent measures.
Mathematical & Statistical Calculations – Introduces SUMX, COUNT, AVERAGE, and RANKX for analyzing trends and rankings.
Text Manipulation – Demonstrates formatting and extracting data using CONCATENATE, FORMAT, LEFT, and UPPER.
Aggregation & Time Intelligence – Includes TOTALYTD, DATESMTD, and PARALLELPERIOD for creating rolling analytics.
Table Optimization for Reporting – Covers

Course Content

Module 1: Introduction to DAX

Introduction

00:42
Overview of DAX and its significance in Power BI
What does DAX stand for in Power BI?
Understanding calculated columns vs. measures
Understanding Calculated Columns vs. Measures in DAX
Exploring DAX syntax and fundamental principles
DAX Syntax Structure

About Course

What Will You Learn?

Course Content

Module 1: Introduction to DAX

Introduction

Overview of DAX and its significance in Power BI

What does DAX stand for in Power BI?

Understanding calculated columns vs. measures

Understanding Calculated Columns vs. Measures in DAX

Exploring DAX syntax and fundamental principles

DAX Syntax Structure

Module 2: Date & Time Functions

Creating a structured date table (CALENDAR, CALENDARAUTO)

Creating a Structured Date Table Using CALENDAR and CALENDARAUTO in DAX

Performing time-based calculations (DATEDIFF, TODAY)

Performing Time-Based Calculations Using DATEDIFF and TODAY in DAX

Implementing time intelligence functions (TOTALYTD, DATESMTD, SAMEPERIODLASTYEAR)

Module 3: Filter Functions

Modifying filter contexts using ALL, ALLEXCEPT, FILTER

Modifying Filter Contexts Using ALL, ALLEXCEPT, FILTER

Applying conditional filters with CALCULATE

Applying Conditional Filters with CALCULATE in DAX

Using dynamic filtering techniques for reports

Using Dynamic Filtering Techniques for Reports in Power BI

Module 4: Related Functions

Understanding relationships in Power BI data models

Understanding Relationships in Power BI Data Models

Using RELATED and RELATEDTABLE to retrieve data across tables

Using RELATED and RELATEDTABLE to Retrieve Data Across Tables in Power BI

Implementing advanced relationship handling with USERELATIONSHIP

Implementing Advanced Relationship Handling with USERELATIONSHIP in DAX

Module 5: Logical Functions

Applying conditional logic with IF, SWITCH, TRUE

Applying Conditional Logic with IF, SWITCH, and TRUE in DAX

Error handling and validation using IFERROR and HASONEVALUE

Error handling and validation using IFERROR and HASONEVALUE

Implementing decision-based calculations for custom reports

Implementing decision-based calculations for custom reports

Module 6: Mathematical & Statistical Functions

Performing numerical operations (SUMX, COUNT, AVERAGE)

Performing Numerical Operations (SUMX, COUNT, AVERAGE)

Using statistical functions to analyze trends (RANKX, MAXX, DISTINCTCOUNT)

Using Statistical Functions to Analyze Trends (RANKX, MAXX, DISTINCTCOUNT)

Creating custom financial metrics for data-driven decision-making

Creating Custom Financial Metrics for Data-Driven Decision-Making

Module 7: Text Functions

Formatting and manipulating text (FORMAT, LEFT, CONCATENATE)

Formatting and Manipulating Text (FORMAT, LEFT, CONCATENATE)

Extracting meaningful insights from string data

Extracting Meaningful Insights from String Data

Applying text transformations for better report readability

Applying Text Transformations for Better Report Readability

Module 8: Aggregation & Time Intelligence Functions

Implementing aggregation techniques (TOTALMTD, TOTALQTD, TOTALYTD)

Implementing Aggregation Techniques (TOTALMTD, TOTALQTD, TOTALYTD)

Creating rolling time metrics (DATESINPERIOD, PARALLELPERIOD)

Creating rolling time metrics (DATESINPERIOD, PARALLELPERIOD)

Designing powerful time-based dashboards

Designing powerful time-based dashboards

Module 9: Advanced Table Functions

Restructuring data with SUMMARIZE, SELECTCOLUMNS, GROUPBY

Restructuring Data with SUMMARIZE, SELECTCOLUMNS, GROUPBY

Combining datasets with CROSSJOIN, INTERSECT, EXCEPT

Combining datasets with CROSSJOIN, INTERSECT, EXCEPT

Optimizing reports using calculated tables

Optimizing Reports Using Calculated Tables

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