Advanced Dax In Power Bi

Advanced DAX in Power BI: Exploring Advanced Techniques, Context & Filter Management, and Performance Optimization

What you'll learn

Master DAX functions, including aggregation, time intelligence, and logical functions for complex calculations in Power BI.

Understand DAX engine components, including VertiPaq and DirectQuery, and their impact on performance.

Learn advanced filtering techniques with functions like CALCULATE, KEEPFILTERS, and context transitions.

Gain expertise in time intelligence functions, including YTD, MTD, and SAMEPERIODLASTYEAR calculations.

Build and optimize data models using table manipulation and relationship functions such as UNION, RELATED, and USERELATIONSHIP.

Requirements

A stable internet connection

A laptop, desktop, or any other device that allows you to access the course videos

Power BI

Basic knowledge of Power BI

Description

The Advanced DAX in Power BI course is designed for individuals looking to deepen their understanding of Data Analysis Expressions (DAX) within the Power BI environment. This comprehensive course covers a wide range of topics, starting with foundational Power BI concepts such as data tables, lookup tables, and cardinality, before moving into more advanced DAX techniques and functions.Key concepts explored in this course are filter flow, DAX operators, and the essential functions of the DAX engine, including the formula engine and the storage engine. Participants will gain an in-depth understanding of the VertiPaq engine and DirectQuery and will learn about compression, encoding methodologies, and the relationships between VertiPaq and Power BI models.The course also covers DAX error handling, scalar functions, logical functions, and table manipulation functions like SELECTCOLUMNS, ADDCOLUMNS, and UNION. Additionally, you will learn about complex DAX functions such as CALCULATE, KEEPFILTERS, and context transitions with practical exercises that enhance real-world understanding.A strong focus is placed on time intelligence, where you’ll explore date table creation, commonly used time functions like SAMEPERIODLASTYEAR, and patterns for calculating YTD (Year-To-Date) and MTD (Month-To-Date) values. Participants will also become proficient in advanced table functions and relationship management, such as USERELATIONSHIP and CROSSFILTER, which are crucial for building complex models.By the end of this course, you will have gained the expertise needed to use DAX in Power BI efficiently, optimize reports, and tackle advanced analytical challenges. Whether you're looking to accelerate your decision-making processes or refine your Power BI models, this course will provide the tools and techniques needed to take your skills to the next level.

Overview

Section 1: Advanced DAX in Power BI

Lecture 1 Introduction to DAX Engines - Part 1

Lecture 2 Introduction to DAX Engines - Part 2

Lecture 3 Introduction to DAX Engines - Part 3

Lecture 4 Introduction to DAX Engines - Part 4

Lecture 5 Introduction to DAX Engines - Part 5

Lecture 6 Introduction to DAX Engines - Part 6

Lecture 7 Introduction to DAX Engines - Part 7

Lecture 8 Introduction to DAX Engines - Part 8

Lecture 9 Introduction to DAX Engines - Part 9

Lecture 10 DAX Best Practices - Part 1

Lecture 11 DAX Best Practices - Part 2

Lecture 12 DAX Best Practices - Part 3

Lecture 13 DAX Best Practices - Part 4

Lecture 14 Scalar Functions - Part 1

Lecture 15 Scalar Functions - Part 2

Lecture 16 Scalar Functions - Part 3

Lecture 17 Scalar Functions - Part 4

Lecture 18 Scalar Functions - Part 5

Lecture 19 Scalar Functions - Part 6

Lecture 20 Advanced Calculate - Part 1

Lecture 21 Advanced Calculate - Part 2

Lecture 22 Advanced Calculate - Part 3

Lecture 23 Advanced Calculate - Part 4

Lecture 24 Advanced Calculate - Part 5

Lecture 25 Table & Filter Functions - Part 1

Lecture 26 Table & Filter Functions - Part 2

Lecture 27 Table & Filter Functions - Part 3

Lecture 28 Table & Filter Functions - Part 4

Lecture 29 Table & Filter Functions - Part 5

Lecture 30 Table & Filter Functions - Part 6

Lecture 31 Table & Filter Functions - Part 7

Lecture 32 Table & Filter Functions - Part 8

Lecture 33 Table & Filter Functions - Part 9

Lecture 34 Table & Filter Functions - Part 10

Lecture 35 Calculated Table Joins - Part 1

Lecture 36 Calculated Table Joins - Part 2

Lecture 37 Calculated Table Joins - Part 3

Lecture 38 Relationship Functions - Part 1

Lecture 39 Relationship Functions - Part 2

Lecture 40 Relationship Functions - Part 3

Lecture 41 Relationship Functions - Part 4

Lecture 42 Relationship Functions - Part 5

Lecture 43 Relationship Functions - Part 6

Lecture 44 Iterator Functions - Part 1

Lecture 45 Iterator Functions - Part 2

Lecture 46 Iterator Functions - Part 3

Lecture 47 Iterator Functions - Part 4

Lecture 48 Iterator Functions - Part 5

Lecture 49 Advanced Time Intelligence Functions - Part 1

Lecture 50 Advanced Time Intelligence Functions - Part 2

Lecture 51 Advanced Time Intelligence Functions - Part 3

Lecture 52 Advanced Time Intelligence Functions - Part 4

Lecture 53 Advanced Time Intelligence Functions - Part 5

Lecture 54 Advanced Time Intelligence Functions - Part 6

Lecture 55 Advanced Time Intelligence Functions - Part 7

Lecture 56 Advanced Time Intelligence Functions - Part 8

Lecture 57 Advanced Time Intelligence Functions - Part 9

Lecture 58 Advanced Time Intelligence Functions - Part 10

Lecture 59 Advanced Time Intelligence Functions - Part 11

Lecture 60 Advanced Time Intelligence Functions - Part 12

Lecture 61 Advanced Time Intelligence Functions - Part 13

Lecture 62 Conclusion

Power BI users with a basic understanding of DAX who want to deepen their knowledge and tackle advanced analytics,Data analysts and business intelligence professionals looking to enhance their Power BI reporting and modeling skills,Any professional interested in optimizing Power BI performance through advanced DAX functions and efficient data modeling techniques,Anyone seeking to learn time intelligence, complex filtering, and dynamic calculations to improve their data analysis capabilities