25.6.19
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Advanced DAX

This badge is earned by successfully completing the Advanced DAX for Power BI course at Maven Analytics. COURSE HOURS: 19.0 CPE CREDITS: 19.0 COURSE DESCRIPTION: For users looking to take their Power BI skills to the next level, mastering Data Analysis Expressions (DAX) is a must. In this hands-on, project-based course, you'll put your DAX skills to the test and apply what you learn to some of the toughest real-world business intelligence use cases. You'll be playing the role of Lead Business Intelligence Analyst for Maven Roasters, a small-batch coffee chain based in New York City. Your goal? Use Power BI and DAX to answer key questions and deliver data-driven insights for the business, by analyzing product inventory, repeat customers, store-level performance, and everything in between. We'll start by quickly reviewing prerequisite topics (evaluation context, filter flow, basic measures, etc.), then dive behind the scenes to explore how the DAX formula and storage engines actually work, including query evaluation, columnar structures, and VertiPaq compression and encoding. From there we'll cover helpful tips and best practices for DAX power users, including variables, comments, query formatting and error handling, then dive deep into scalar functions, iterators, filter functions, advanced time intelligence, calculated table joins, relationship functions, and more. Finally, we'll give a sneak peek into performance tuning and query optimization using DAX Studio and Power BI's Performance Analyzer tool. If you're looking to build expert-level data analysis skills using DAX and Power BI, this is the course for you. CPE ACCREDITATION DETAILS: - CPE Credits: 19.0 - Field of Study: Information Technology - Delivery Method: QAS Self Study Maven Analytics LLC is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have the final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: www.nasbaregistry.org.

Skills / Knowledge

  • DAX
  • Power BI
  • Business Intelligence
  • Data Analysis
  • Data Analysis Expressions
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