Sqlbi – Mastering DAX Video Course

Sqlbi – Mastering DAX Video Course

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.

Curriculum

• 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
• 10 – Average sales per customer
• 20 – Average delivery time
• 50 – Last update of customer
• 40 – Working days
• 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
• 20 – Percentage of sales
• 10 – Delivery working days
• 40 – Sales of products in the first week
• 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
• 10 – Nested iterators
• 20 – Customers in North America
• 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 – Sales of red and blue products
• 20 – Understanding CALCULATE
• 25 – Sales of blue products
• 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
• 35 – Correct sales of grey products
• 40 – Best customers
• 45 – Customers buying many products
• 50 – Large sales
• 30 – Percentage of customers
• 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
• 10 – Ranking customers (static)
• 20 – Ranking customers (dynamic)
• 30 – Date with the highest sales
• 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
• 10 – Running total
• 20 – Comparison YOY%
• 30 – Sales in first three months
• 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
• 10 – Sales by year
• 20 – Filtering and grouping sales
• 30 – Using TOPN and GENERATE
• 40 – Sales to top customers
• 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
• 10 – Distinct count of countries
• 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
• 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
• 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
• 30 – Same product sales
• 40 – Commentary on report
• 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
• 10 – Time calculations
• 20 – Multiple calculation groups
• 30 – Sold versus delivered
• 40 – Min, Max and Avg calculation group
• 50 – Top and bottom products