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Learn how to clean, optimize and model data tables to develop effective, insightful and actionable Power BI reports

What you will learn

Utilize the query editor to clean up and optimize your raw data tables

Learn the great functionality hidden away in the query editor

Implement advanced transformation techniques to improve your solutions

Organize your queries so you can manage complexity

Manage tables of data from multiple different data sources

Design and execute on an effective data model

Analytical think about your data model and then create the correct relationships

Lay out your data model so it is designed intuitively

Implement data models over unique data scenarios


An outline of this training course

This course covers in detail the query editor and how to develop effective Power BI data models. When starting out with Power BI you can sometimes overlook how important these two areas inside of Power BI are to developing an effective reporting solution. This course makes sure that you can see the immense value of doing work in these areas right can be. Covered are intermediate to advanced techniques that will enable you to optimize your raw data tables and then connect them into a functioning analytical model that you can ultimately overlay DAX formula to and get the correct results, that will answer your analytical questions.

Details of what you will learn during this course

  • Learn – best practice techniques when using the query editor
  • Learn – how to work with ‘M’ code and the advanced editor
  • Understand – the row and column query transformation options
  • Implement – advanced data cleaning and transformation techniques
  • Work – through end to end examples of querying multiple tables
  • Learn – how to think about and manage the data model
  • Learn – effective techniques applicable to any data scenario
  • Apply – advanced data modeling techniques to your own models
  • Understand – advanced modeling scenarios and situations
  • Learn – how to effectively organize your models

What you get with the course

  • 4 hours of course videos
  • Demo dataset and model to practice advanced querying and data modeling with


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“From my first days working with Power BI. Sam and Enterprise DNA has been my go-to people for learning about how to do things in Power BI. From modeling to DAX, visualizations to formatting, and publishing reports to creating dashboards and apps.” – Ian Besmond

“I have trawled the internet and tried at least 3 Power BI courses. This is the first one that includes a methodology for Data Modeling and analytics that is intuitive and makes sense. I went from very basic knowledge of Power BI to comfortable with the concept of DAX and setting up attractive reports in 1 day. A course cannot get better than that!”     – Karl Griffin

“Sam – you have built an incredible community of people who have become passionate about Power BI. Your videos (both publicly available and commercially available by subscription) are an invaluable tool to BI users at all levels. I learned a ton about proper data modeling for analytics, DAX complex queries, using M-Query, organizing information properly, and much more. I highly recommend the membership – it has proven to be a prudent investment.” – Tiran



Resource Pack
Resource – Data Transformations and Modeling in Power BI
My best practice tips for the query editor & data model
Why you always need to use the query editor
How to bring in data to the query editor
Tips and techniques to work through in the query editor
Understanding M code
How to fix things if they fall over in here
How to organize the query editor well
Data transformation examples
Column transformations
Row transformations
Filtering tables for unrequired data
Creating and modifying a date table
Advanced transformation and querying techniques
Staging queries
Appending queries
Merging or joining your queries
Unpivoting your tables
Columns from examples
Custom & conditional columns
Creating & using parameters
Custom functions
Bringing advanced transformations together
Designing advanced data models
What are we trying to achieve with the data model?
Best practice tips for setting up the data model
Setting up complex models
What to do if you don’t have a lookup table
Measure tables / groups
Intermediary tables
Supporting tables
Scenario tables (‘what if’ parameters)
Adding dimensions to lookup tables
Multi layered models
Advanced modeling concepts
Active vs inactive relationships
Optimising your models
How you can improve your models
How to reduce the file size of your models