Australia
New Zealand
Singapore
Hong Kong
Malaysia
Philippines
Indonesia
Power BI DAX Training Course
Learn the fundamentals of DAX on our One-Day Course
Power BI is a powerful tool. Users can achieve quite a lot without much DAX knowledge but to take your skills and modelling ability to the next level, fundamental understanding of the DAX language is key. Our one-day course will introduce key concepts and work through exercises so students leave with a clearer picture of how to write DAX. You will learn:
- To write DAX functions and understand expressions
- use tools to help manage and create DAX
- create complex expressions
- learn methods to optimise expressions and more
Power BI DAX Training Course
Learn Power BI DAX from our experienced trainers in our remote courses, live online.
฿ 13,600
10 max
1 day
Upcoming Courses:
Remote BKK
Date
Course
City
Status
Scheduled
Taking enrollments.
Confirmed
Taking enrollments.
Few Seats left
Book Now.
Sold Out
Try another date.
Power BI DAX Course Details
Price
฿ 13,600
Duration
1 day
Times
9am-4pm
Class Size (max)
10
Class Size (avg)
5
Reference Materials
Provided
CPD Hours
6 hours
Delivery
Instructor-led training
Live Online
Address
N/A
Power BI Course Outlines
-
-
-
-
-
DA-100 Power BI Certification
Other Courses
Other Courses
Course Rating
Skills Test
Contact Us
What do I need to know to attend?
- Use Power BI Desktop proficiently to source / model data and create basic tables, columns and measures with DAX
- Understanding the basic concepts of data modelling and how to perform related tasks in Power BI
- Have good general knowledge of simple DAX and understand the evaluation contexts (row, filter, context transition etc.)
- Advanced Excel skills is desired, knowledge of programming / scripting concepts will be an advantage
- Students should have attended our Power BI Advanced course.
Power BI DAX Learning Outcomes
- Write expressions more confidently using DAX
- Work with a wider range of DAX functions
- Make use of tools to compliment creating and managing DAX
- Create more complex expressions using methods to build and prove an outcome
- Appreciate the concepts of data model and expression performance
- Use techniques to optimise an expression for better efficiency
Power BI DAX Course Content
- Course Introduction
- What is DAX
- DAX Functions
- DAX Contexts
- What is Vertipaq
- DAX efficiency
- DAX references
- DAX best practices
- Recap of Contexts
- Introduction to Contexts
- Recap of DAX Contexts
- The Row Context
- The Filter Context
- Measures and Calculated Columns
- Dataset for exercises – Computer Store sales
- Filter and Row Context in a measure
- The CALCULATE function
- Context Transition
- Filter Expressions of CALCULATE
- Rules of Evaluation
- CALCULATE and FILTER
- Contexts in Calculated Columns
- Introduction to Columns
- Row Context in Calculated Columns
- Filter Context in Calculated Columns
- Relationships in Row Contexts
- The RELATED function
- The RELATEDTABLE function
- Using RELATEDTABLE in a column
- CALCULATED in row contexts
- Row to Filter Context
- Transformation Whiteboard
- Exercise on row to filter contexts
- Duplicates in the transformation
- The LOOKUPVALUE function
- Row Contexts in Measures
- Introduction to Row Contexts
- Row Contexts in Measures
- Simple iterator in a measure
- Row Context and a related table
- Some more calculations exercise
- Re-using measures
- Implicit CALCULATE in a measure
- An alternative approach using variables
- Functions and FILTER
- Introduction to DAX functions
- Time Intelligence functions
- Date (Dimension) tables
- Using in-built TOTALYTD
- Date modifier functions
- Using date modifier DATESBETWEEN
- Using date modifier DATESYTD
- The magic behind Date Table functions
- The case for simplicity – MAX or LASTDATE
- Understanding the FILTER function
- Contexts in the FILTER function
- The filter context in functions
- Naked column references
- Simple filter expression
- Comparing a value in the filter context
- Adding another filter condition
- The value of VALUES
- Table Functions
- Introduction to Table functions
- Summarising tables
- Using SUMMARIZE alone
- The problem with SUMMARIZE
- Using ADDCOLUMNS and SUMMARIZE
- Using SUMMARIZECOLUMNS as a better alternative
- A summary table in a measure
- Practical DAX
- Introduction to DAX calculations
- Comparing functions – min/max and time intelligence
- Debugging with DAX
- Alternative patterns
- The Quick Measure version
- The KEEPFILTERS function
- The TREATAS function
- A few ORs or TREATAS
- Using TREATAS and KEEPFILTERS
- Using TREATAS for virtual relationships
- DAX Tools
- Use of third party tools
- Introducing DAX Studio
- What is DAX Studio
- Download and Install DAX Studio
- The DAX Studio Interface
- How DAX Studio connects to the data
- Viewing data model information
- Creating a table query
- Ordering a query result
- A query returning a scalar
- Defining a Measure
- Declaring a variable
- Incoming filter context
- DAX Performance
- Introduction to DAX Performance
- The basics of the Vertipaq engine
- Where is Vertipaq
- A database of columns
- Compression of a column
- Identifying column compression
- Understanding the TABLE_ID column
- Power Query data statistics
- Data Model Normalisation
- Introduction to the Query Plan
- Overview of the engines
- The Formula Engine
- The Storage Engine
- Capturing a query
- Special process to capture Power BI queries
- Re-loading Power BI visuals
- Understanding the query information from the capture
- DAX Optimisation
- Introduction to optimising DAX
- Clear the Cache
- Server Timings
- Explaining the Server Timings
- Steps to improve performance
- Redefine a measure
- The datacache
- Optimisation by the Vertipaq engine
- The CallBackDataID function
- Reducing CallBackDataID instances
- Optimising a Query in the Storage Engine
- Viewing the Query Plan
- Comparing two statistical functions
- Extended Topics:
- Table Joins
- Introduction to Table Joins
- The Inner Join
- A join on unrelated tables – TREATAS
- The Outer Join
- The Cross Join Using
- GENERATE for Joins
- Nested Row Context
- Introduction to Nested Rows
- How Nested Rows work
- The EARLIER function
- The EARLIEST function
- Create a nested row in a column
- How to avoid complex nesting expressions
- Using variables to store values before nesting
- Avoid iterators where possible
- Further improve the efficiency of an expression
- Ranking
- Introduction to Ranking
- Arguments in RANKX
- Create a calculated column for ranking
- Sort order of ranking
- Definitions when ranking ties
- Breaking Ties Manually
- Creating a measure for ranking
- Adjustments to make the RANKX measure work
phone
email
enquiry
