Explore DAX from the ground up and apply your knowledge to create impactful Power BI models. This course will guide you through the essentials of DAX, helping you to develop effective data strategies.
This free training course has been created to give you an introductory understanding of DAX, which is the formula language inside of Power BI. DAX is the true analytical power behind Power BI. If learnt well you can complete some incredible analysis that historically has been quite difficult to achieve with existing tools (like excel). The training covers some theory behind DAX that is important to understand and learn very well before you move on to more advanced formula and using complex analytical techniques.
Introduction
Understanding the basics of DAX
Reviewing the data model
Understanding context
CALCULATE, filters & table functions
Time Intelligence
Becoming a DAX super user
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Certification
Continuous Learning
Sam McKay
CEO & Founder
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.
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?

FOR INDIVIDUALS
Empowering the most valuable data analysts to expand their analytical thinking and insight generation possibilities.
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Training, tools, and guidance to unify and upskill the data analysts in your workplace.
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