Data Transformations And Modeling

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

schedule4 hours
play_circle35 videos
unfold_more45 exercises
trending_up565 xp

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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

  • Over 4 hours of video training
  • Demo data sets for practical application

Here are the specifics for the course

Learn how to:

  • 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 our unique data scenarios

What our

Students Say
Curriculum
1

Introduction


2

Data transformation examples


3

Advanced transformation and querying techniques


4

Designing advanced data models


5

Advanced modeling concepts


6

Optimising your models


7

Your Feedback


8

Certification


Your

Instructor
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Sam McKay

CEO & Founder

  • Sam is Enterprise DNA's CEO & Founder. He helps individuals and organizations develop data-driven cultures and create enterprise value by delivering business intelligence training and education on Microsoft’s Power BI platform
  • He partners with business decision-makers and analysts across all industries and business functions.

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