Mastering DAX Video Course

This is the video course version of the Mastering DAX workshop.
DAX is the native language of Power BI, Power Pivot for Excel, and SSAS Tabular models in Microsoft SQL Server Analysis Services. The training is aimed at users of Power BI, Power Pivot for Excel, and at Analysis Services developers that want to learn and master the DAX language.

The goal of the course is to teach all the features of DAX, providing the knowledge to write formulas for common and advanced business scenarios. The video course is made up of over 15 hours of lectures, plus another 15-20 hours of individual exercises. You can watch the videos at anytime and the system will keep track of your progress. Within the course you can download the material for all the exercises.

Students have access to a private discussion area where they can interact with the instructors asking questions related to the lectures and the exercises.

Collapse allCurriculum

  • Presentation of Mastering DAX 2nd Edition

    • Presentation of Mastering DAX 2nd Edition
      FREE
  • Exercises, labs, slides, and demos

    • Exercises, labs, slides, and demos
      FREE
    • How to download and complete exercises
      FREE
    • Download exercises
    • Download demos
    • Slides of the video course
  • Introduction to DAX

    • Introduction to DAX
      FREE
    • What is DAX?
      FREE
    • DAX data types
      FREE
    • Calculated columns
      FREE
    • Measures
      FREE
    • Aggregation functions
    • Counting values
    • Conditional functions
    • Handling errors
    • Using variables
    • Mathematical functions
    • Relational functions
    • Exercises
      FREE
    • Exercises solutions
      Added Nov 20, 2020

      • Exercises solutions
      • 02.10 - Average sales per customer
      • 02.20 - Average delivery time
      • 02.50 - Last update of customer
      • 02.40 - Working days
      • 02.30 - Discount categories
  • Table functions

    • Table functions
      FREE
    • Introduction to table functions
    • Filtering a table
    • Ignoring filters
    • Mixing filters
    • Distinct
    • How many values for a column
    • ALLSELECTED
    • RELATEDTABLE
    • Tables and relationships
    • Tables with one row and one column
    • Table variables
    • Exercises
      FREE
    • Exercises solutions
      Added Nov 20, 2020

      • Exercises solutions
      • 03.20 - Percentage of sales
      • 03.10 - Delivery working days
      • 03.40 - Sales of products in the first week
      • 03.30 - Customers with children
  • Evaluation contexts

    • Evaluation contexts
      FREE
    • Introduction to evaluation contexts
    • Filter context
    • Row context
    • Context errors
    • Filtering a table
    • Using RELATED in a row context
    • Ranking by price
    • Evaluation contexts and relationships
    • Filters and relationships
    • Exercises
      FREE
    • Exercises solutions
      Added Nov 20, 2020

      • Exercises solutions
      • 04.10 - Nested iterators
      • 04.20 - Customers in North America
      • 05.10 - Create a parameter table
  • The CALCULATE function

    • The CALCULATE function
      FREE
    • CALCULATE
    • CALCULATE examples
    • CALCULATE recap
    • What is a filter context?
    • KEEPFILTERS
    • CALCULATE operators
    • Use one column only in compact syntax
    • Variables and evaluation contexts
    • Exercises
      FREE
    • Exercises solutions
      Added Nov 20, 2020

      • Exercises solutions
      • 05.05 - Sales of red and blue products
      • 05.20 - Understanding CALCULATE
      • 05.25 - Sales of blue products
      • 05.15 - Computing percentages
  • Advanced evaluation contexts

    • Advanced evaluation contexts
      FREE
    • CALCULATE modifiers
    • USERELATIONSHIP
    • CROSSFILTER
    • ALL
    • ALLSELECTED
    • KEEPFILTERS
      FREE
    • Context transition
    • Context transition /2
    • Circular dependency
    • CALCULATE execution order
    • Exercises
      FREE
    • Exercises solutions
      Added Nov 20, 2020

      • Exercises solutions
      • 05.35 - Correct sales of grey products
      • 05.40 - Best customers
      • 05.45 - Customers buying many products
      • 05.50 - Large sales
      • 05.30 - Percentage of customers
      • 05.55 - Counting spikes
  • Iterators

    • Iterators
      FREE
    • Working with iterators
    • MINX and MAXX
    • Useful iterators
    • RANKX
    • ISINSCOPE
    • Exercises
      FREE
    • Exercises solutions
      Added Nov 20, 2020

      • Exercises solutions
      • 07.10 - Ranking customers (static)
      • 07.20 - Ranking customers (dynamic)
      • 07.30 - Date with the highest sales
      • 07.40 - Moving average
  • Building a date table

    • Building a date table
      FREE
    • Introduction to date table
    • Auto Date/Time
    • CALENDARAUTO
    • Mark as date table
    • Using multiple dates
  • Time intelligence in DAX

    • Time intelligence in DAX
      FREE
    • What is time intelligence?
      FREE
    • Time intelligence functions
      FREE
    • DATEADD
    • DATESINPERIOD
    • Running total
    • Mixing time intelligence functions
    • Semi-additive measures
    • Calculations over weeks
    • Exercises
      FREE
    • Exercises solutions
      Added Nov 20, 2020

      • Exercises solutions
      • 08.10 - Running total
      • 08.20 - Comparison YOY%
      • 08.30 - Sales in first three months
      • 08.40 - Semi-additive calculations
  • Hierarchies in DAX

    • Hierarchies in DAX
      FREE
    • What are hierarchies?
    • FILTER and CROSSFILTER
    • Percentages over hierarchies
    • Parent-child hierarchies
  • Querying with DAX

    • Querying with DAX
      FREE
    • Working with tables and queries
    • EVALUATE
    • CALCULATETABLE
    • SELECTCOLUMNS
    • SUMMARIZE
    • SUMMARIZECOLUMNS
    • CROSSJOIN
    • TOPN and GENERATE
    • ROW and DATATABLE
    • Tables and relationships
    • UNION, INTERSECT, and EXCEPT
    • GROUPBY
    • Query measures
    • Exercises
      FREE
    • Exercises solutions
      Added Nov 20, 2020

      • Exercises solutions
      • 13.10 - Sales by year
      • 13.20 - Filtering and grouping sales
      • 13.30 - Using TOPN and GENERATE
      • 13.40 - Sales to top customers
      • 13.50 - Sales of top three colors
  • Data lineage and TREATAS

    • Data lineage and TREATAS
      FREE
    • What is data lineage?
    • TREATAS
  • Expanded tables

    • Expanded tables
      FREE
    • Filters are tables
    • Difference between base tables and expanded tables
    • Filtering a column
    • Exercises
      FREE
    • Exercises solutions
      Added Nov 20, 2020

      • Exercises solutions
      • 14.10 - Distinct count of countries
      • 14.20 - Sales quantity greater than two
  • Arbitrarily shaped filters

    • Arbitrarily shaped filters
      FREE
    • What are arbitrarily shaped filters?
    • Example of an arbitrarily shaped filter
  • ALLSELECTED and shadow filter contexts

    • ALLSELECTED and shadow filter contexts
      FREE
    • ALLSELECTED
    • Shadow filter contexts
  • Segmentation

    • Segmentation
      FREE
    • Static segmentation
    • Circular dependency in calculated tables
    • Dynamic segmentation
    • Exercises
      FREE
    • Exercises solutions
      Added Nov 20, 2020

      • Exercises solutions
      • 15.10 - Static segmentation
  • Many-to-many relationships

    • Many-to-many relationships
      FREE
    • How to handle many-to-many relationships
    • Bidirectional filtering
    • Expanded table filtering
    • Comparison of the different techniques
    • Exercises
      FREE
    • Exercises solutions
      Added Nov 20, 2020

      • Exercises solutions
      • 15.30 - Many-to-many relationships
  • Ambiguity and bidirectional filters

    • Ambiguity and bidirectional filters
      FREE
    • Understanding ambiguity
      FREE
  • Relationships at different granularities

    • Relationships at different granularities
      FREE
    • Working at different granularity
    • Using TREATAS
    • Calculated tables to slice dimensions
    • Leveraging weak relationships
    • Scenario recap
    • Checking granularity in the report
    • Hiding or reallocating
  • Additional exercises

    • Exercises
      FREE
    • Exercises solutions
      Added Nov 20, 2020

      • Exercises solutions
      • 14.30 - Same product sales
      • 14.40 - Commentary on report
      • 15.20 - New customers
  • Calculation groups

    • Calculation groups
      FREE
    • Introducing calculation groups
      FREE
    • Basic measures
    • Calculation items are patterns
    • Creating calculation groups
    • Changing the format string
    • Excluding specific measures
    • Using calculation items in DAX
    • Calculation item application
    • Calculation items on complex expressions
    • Multiple calculation groups in a report
    • Understanding precedence in calculation groups
    • Reusing calculation items
    • Recursion and best practices
    • Exercises
      FREE
    • Exercises solutions
      Added Nov 20, 2020

      • Exercises solutions
      • 09.10 - Time calculations
      • 09.20 - Multiple calculation groups
      • 09.30 - Sold versus delivered
      • 09.40 - Min, Max and Avg calculation group
      • 09.50 - Top and bottom products
Student Rating
4.9
579 ratings
Student Reviews (308)
  • Lucas Anjos (Dec 12, 2022)

    Conteudo excelente, do basico ao avançado. Os instrutores aplicam bem a teoria e a pratica com exemplos claros.

  • Roman Kalinin (Dec 11, 2022)

    The greatest course of DAX out there!

  • Mark Cioffi (Nov 11, 2022)

    Once again. Bravo! to the Maestros Marco and Alberto. I love this Course, best Money I ever spent on Training. I decided to learn Power BI and DAX to enhance my abilities as a BI Developer. I started off knowing nothing about the DAX language. This course brought me up to speed in a few months, which I believe would have taken me a few years trying to figure it out on my own. I highly recommend using this course with a full read of the Definitive guide to DAX 2nd Edition. ALL() the examples and exercises in both sources are fantasic, real world, and insightful. Sincere thanks to Marco, Alberto, and the unnamed members of their team for this excellent contribution. Sincerely, Mark

  • ADAM MILES (Oct 26, 2022)

    Wonderful course!!!

  • Perry Nagelkerken (Oct 20, 2022)

    Nice content

  • Perry Nagelkerken (Oct 20, 2022)

    Nice content

  • Marco van Barneveld (Oct 10, 2022)

    .

  • Joel Almonte (Oct 5, 2022)

    This is a very good training, it covers a large part of the situations that arise on a day-to-day basis.

  • Martin Turcotte (Oct 2, 2022)

    Outstanding course content! Great complement to the book!

  • Lukasz Balcerzak (Sep 8, 2022)

    Thank you for this great resource! You're the best reference for any DAX related issues!

  • Robert Sharp (Sep 8, 2022)

    Excellent course. Will need three passes through before it sinks in.

  • Aniek Van der Valk (Sep 2, 2022)

    Perfect! Thank you!

  • Dereck Ostdahl (Aug 12, 2022)

    Very in depth course and full of hands on lab examples to work through, highly recommend for anyone who will be using Power BI in their day to day work!

  • Patrick Guo (Aug 5, 2022)

    A very good course!

  • youssef zaki (Jul 29, 2022)

    Excellence as Always. Thank you so much.

Would you prefer a classroom course?

This video course is based on a classroom course we teach all around the world. If you prefer a classroom learning experience, take a look at the dates below for a list of our upcoming classroom courses!
2024
 Copenhagen, DK Dec 2-4, 2024
Copenhagen
2025
 Amsterdam, NL Feb 11-13, 2025
Amsterdam
 Phoenix (Tempe), AZ, US Feb 18-20, 2025
Phoenix
 Dallas, TX, US Feb 24-26, 2025
Dallas