Data Transformations And Modeling
Learn how to clean, optimize and model data tables to develop effective, insightful and actionable Power BI reports
Trusted by 220,000+ people worldwide.
An outline of this training course
Explore the Power BI query editor and data model development in this course, highlighting their key roles in effective reporting. Learn advanced techniques to optimize data tables and build functional analytical models using DAX formulas. Enhance your skills to answer complex analytical questions with precision. Join us to master Power BI and elevate your data analysis capabilities!
Details of what you will learn in 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
Introduction
Data transformation examples
Advanced transformation and querying techniques
Designing advanced data models
Advanced modeling concepts
Optimising your models
Your Feedback
Certification
Continuous Learning
Your
Instructor

Sam McKay
CEO & Founder
Sam McKay
CEO & Founder, Enterprise DNA
Sam is the Founder of Enterprise DNA and a leading voice in data and AI transformation. He helps professionals and organizations become ‘Full Stack AI Professionals’ capable of mastering data, building intelligent tools, and driving innovation at scale.
Through platforms like EDNA Learn, Data Mentor, AI Builders, and KnowCode, Sam empowers teams to thrive in the AI-driven future. His mission: to democratize advanced analytics and make real-world AI application accessible to all.
He’s a strong advocate for practical, hands-on learning and believes AI is unlocking a wave of opportunity for builders, creators, and problem-solvers worldwide.
Frequently Asked
Questions
What’s the difference between a free account and a paid plan?
Do I need to know anything about data science or data analytics to get started with Enterprise DNA?
How will I be charged?
Can I get an invoice for my company?
Are refunds available?
Will AI take over the world and make data skills worthless?
Recommended
Courses

Mastering Automation with Power Automate


Building and Deploying AI-Driven Apps


AI App Development Beginners Guide

Get full access to unparalleled
training & skill-building resources

FOR INDIVIDUALS
Enterprise DNA
For Individuals
Empowering the most valuable data analysts to expand their analytical thinking and insight generation possibilities.
Learn MoreFOR BUSINESS
Enterprise DNA
For Business
Training, tools, and guidance to unify and upskill the data analysts in your workplace.
Learn More