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
536 ratings
Student Reviews (288)
  • Miguel Angel Flores (Aug 27, 2023)

    Excellent course showing practical examples of usage

  • FRANKLIN DAVID PADILLA IRIAS (Aug 23, 2023)

    I like a lot how Marco and Alberto explain all topics with a well-oriented technical but comprehensive way. I challenge everyone whom wants to understand and be even better in PowerBI to learn from them. It worth it!

  • Pedro Pereira (Aug 23, 2023)

    Very good course

  • Parker Smith (Aug 14, 2023)

    Awesome Course, best way to learn DAX

  • Kevin Pickering (Aug 3, 2023)

    Excellent course. A massive topic which will need backing up with practise, practise, practise. Thank you. Just one minor critiscm, when presenting, could you stand to one side of the whiteboard so the slide text can be seen at all times..

  • Raül Basanta (Jun 24, 2023)

    Its very complete and well explained. I will use it a lot as a reference

  • Michal Rekas (Jun 22, 2023)

    Great resource to really understand DAX and start feeling comfortable using it.

  • Dawid Dziurkowski (Jun 7, 2023)

    Great!

  • FERNANDO CAPACE (Jun 7, 2023)

    Dense but good!

  • Taka Kondo (Jun 4, 2023)

    Great Course. Thank You So Much.

  • Cyrus Persia (Apr 27, 2023)

    Comprehensive course that is also my go to reference guide for everyday DAX.

  • Michal Malanowski (Apr 21, 2023)

    Amazing course. Very well explained and the structure was easy to follow.

  • Danilo Campana (Apr 19, 2023)

    Excelent

  • Hazem Mohamed (Apr 6, 2023)

    This course is an incredibly comprehensive and well-designed program for anyone looking to improve their skills in DAX. From start to finish, the course provides an in-depth look at DAX, covering everything from basic functions to complex calculations. The course is designed to be easy to follow and understand, even for those who have little to no experience with DAX. SQLBI provides clear explanations and examples, as well as hands-on exercises to help reinforce learning. One of the things I appreciated most about the DAX course was the practical focus. SQLBI don't just teach theory; they provide real-world examples and scenarios that help students see how DAX can be used in a business setting. This approach helps make the material much more engaging and relevant. Overall, I highly recommend the course to anyone looking to improve their skills in Power BI. It's a comprehensive, practical, and engaging program that provides valuable insights and knowledge for professionals at all levels.

  • Frank Peeters (Apr 4, 2023)

    Great course, have to do it a few more times to master everything.

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!
 Seattle, WA, US May 6-8, 2024
Seattle
 Hamburg, DE May 14-16, 2024
Hamburg
 Copenhagen, DK May 22-24, 2024
Copenhagen
 Chicago, IL, US Jun 25-27, 2024
Chicago
 Melbourne, VIC, AU Aug 6-8, 2024
Melbourne
 Sydney, NSW, AU Aug 12-14, 2024
Sydney
 Brisbane, QLD, AU Aug 19-21, 2024
Brisbane
 Calgary, AB, CA Sep 18-20, 2024
Calgary