Microsoft Power BI, Analysis Services and Power Pivot all run their calculations on DAX (Data Analysis Expressions). The basics look simple, but accurate, efficient calculations depend on understanding how DAX evaluates them. This 60-minute introduction to DAX helps you build that foundation and sidestep common beginner mistakes.
Through practical examples, the session covers five early lessons: the difference between calculated columns and measures, row context, filter context, context transition and how evaluation context shapes every result.
You'll move from trial-and-error toward a structured view of DAX logic, learn to build dynamic measures, debug and improve calculations, and leave with a recommended learning path. It suits newcomers to Power BI and those already building reports and models.
WHY SHOULD YOU ATTEND?
Many Power BI users struggle with DAX not because the syntax is hard but because evaluation context is not fully understood. Getting the right mental model early helps you write better calculations, troubleshoot faster and create more dynamic, interactive reports.
The session suits Power BI developers, data, BI, reporting, business and financial analysts, Excel power users moving to Power BI, self-service BI users and anyone building reports or models in Power BI, Excel, Analysis Services Tabular or Microsoft Fabric.
AREA COVERED
- Introduction to DAX and its role in Power BI
- Why DAX feels simple but becomes complex
- Understanding evaluation context
- Calculated columns vs. measures
- Row context explained with examples
- Filter context explained with examples
- Context transition and why it matters
- Common DAX mistakes and how to avoid them
- Building dynamic calculations with measures
- Practical demonstrations and real-world use cases
- Tips for debugging and improving DAX calculations
- A recommended learning path for DAX skills
LEARNING OBJECTIVES
- Understand the core concepts behind DAX calculations
- Differentiate between calculated columns and measures
- Explain the difference between row context and filter context
- Describe how evaluation context affects DAX results
- Write more reliable and dynamic DAX measures
- Avoid common beginner mistakes
- Troubleshoot incorrect calculations more effectively
- Apply DAX concepts in real Power BI scenarios
WHO WILL BENEFIT?
This webinar is ideal for:
- Power BI Developers
- Data Analysts
- Business Intelligence Analysts
- Reporting Analysts
- Excel Power Users transitioning to Power BI
- Business Analysts working with data models
- Financial Analysts using Power BI
- Self-Service BI Users
- Data Professionals beginning their DAX journey in Power BI, Excel, Analysis Services Tabular or Microsoft Fabric
- Anyone responsible for creating reports, dashboards, or analytical models in Power BI
Many Power BI users struggle with DAX not because the syntax is hard but because evaluation context is not fully understood. Getting the right mental model early helps you write better calculations, troubleshoot faster and create more dynamic, interactive reports.
The session suits Power BI developers, data, BI, reporting, business and financial analysts, Excel power users moving to Power BI, self-service BI users and anyone building reports or models in Power BI, Excel, Analysis Services Tabular or Microsoft Fabric.
- Introduction to DAX and its role in Power BI
- Why DAX feels simple but becomes complex
- Understanding evaluation context
- Calculated columns vs. measures
- Row context explained with examples
- Filter context explained with examples
- Context transition and why it matters
- Common DAX mistakes and how to avoid them
- Building dynamic calculations with measures
- Practical demonstrations and real-world use cases
- Tips for debugging and improving DAX calculations
- A recommended learning path for DAX skills
- Understand the core concepts behind DAX calculations
- Differentiate between calculated columns and measures
- Explain the difference between row context and filter context
- Describe how evaluation context affects DAX results
- Write more reliable and dynamic DAX measures
- Avoid common beginner mistakes
- Troubleshoot incorrect calculations more effectively
- Apply DAX concepts in real Power BI scenarios
This webinar is ideal for:
- Power BI Developers
- Data Analysts
- Business Intelligence Analysts
- Reporting Analysts
- Excel Power Users transitioning to Power BI
- Business Analysts working with data models
- Financial Analysts using Power BI
- Self-Service BI Users
- Data Professionals beginning their DAX journey in Power BI, Excel, Analysis Services Tabular or Microsoft Fabric
- Anyone responsible for creating reports, dashboards, or analytical models in Power BI
Speaker Profile
Markus Ehrenmueller-Jensen
Markus Ehrenmueller-Jensen is a Microsoft Data Platform expert, trainer, and consultant specializing in Power BI, Microsoft Fabric, SQL Server, and data analytics solutions. With many years of international consulting and training experience, Markus helps organizations and professionals better understand modern data technologies and turn data into actionable insights.He is well known in the global Microsoft data community as an international conference speaker, author, and educator, regularly presenting at events, user groups, and technical conferences worldwide. Markus focuses on making complex technical topics understandable and practical, helping attendees bridge the gap between theory and real-world implementation.His areas of expertise include Power …
Upcoming Webinars
NEW Nacha Rule - Third-Party Sender (TPS) Roles and Respons…
Paying and Receiving Payments for Referrals: You Can Go to …
FDA Technology Modernization Action Plan (TMAP) and Impact …
Human Factors Usability Studies Following ISO 62366 and FDA…
Validation Statistics for Non-Statisticians
Construction Lending And Real Credit Administration: Evalua…
Thriving in a Hybrid Workplace: Keys to Leadership and Team…
Excel Power Skills: Master Functions, Formulas, and Macros …
Discover how Emotional Intelligence turns AI from a technic…
Batch Record Review and Product Release
Tattoos, hijabs, piercings, and pink hair: The challenges …
Handbook Overhaul 2026: Compliance, OBBB Act & Beyond
Copilot and HR: An Introduction for HR Professionals
Female to Female Hostility @Workplace: All you Need to Know
ChatGPT for HR - Build HR Policy Framework and Strategy
Excel Spreadsheets; Develop and Validate for 21 CFR Part 11…
Major cGMP Issues: FDA Concerns in 2026
The Perfect Storm Coming to Healthcare: Value Based Care Me…
Fostering a Culture of Respect: Eliminating Gossip, Rumour…
Language is Code - Intro to AI - Generative AI - ChatGPT an…
Excel + AI: The Smart User's Guide to Faster, Easier Work w…
The Importance of the first 5 seconds when presenting
Managing Difficult Employee Conversations
ChatGPT and Project Management: Leveraging AI for Project M…
I-9 Audits: Strengthening Your Immigration Compliance Strat…
Pivot tables beginner to advanced + 20 advanced Pivot table…
Emotional Intelligence: Mastering the Emotions of Great Lea…
2026 Nacha Rules Changes (Part 1): Fraud Monitoring & Ops B…
Accounting For Non Accountants : Debit, Credits And Financi…
Medical Device Cybersecurity Following FDA’s 2026 Premarket…
Performance of Root Cause Analysis, CAPA, and Effectiveness…
Human Error Reduction Techniques for Floor Supervisors