Learning Path
This path is for users looking to master self-service business intelligence with Power BI Desktop & Service, build Advanced DAX skills, and ace the Microsoft DA-100 exam.
This path is for users looking to master self-service business intelligence with Power BI Desktop & Service, build Advanced DAX skills, and ace the Microsoft DA-100 exam.
You’ll learn how to connect and prep data from external sources, build relational data models and DAX calculations, and design custom, interactive reports and dashboards with Power BI Desktop.
From there you’ll publish your work to the cloud with Power BI Service, create new apps and workspaces, and explore advanced tools like gateways, dataflows, row-level security, data-driven alerts, and more.
Next you'll build expert-level BI skills and solve real-world cases using advanced Data Analysis Expressions (DAX), exploring topics like evaluation context, compression & encoding, calculated joins, and query optimization.
Finally you'll build the skills you need to ace the Microsoft DA-100 Exam with a dedicated certification prep course, designed to help you become a Microsoft Certified Data Analyst, guaranteed.
Chris is an analytics expert and best-selling instructor with 10+ years specializing in data viz and business intelligence. Since founding Maven Analytics in 2014, his courses have been featured by Microsoft, Entrepreneur.com and the New York Times, reaching more than 500,000 students worldwide.
Aaron is a professional analytics consultant and Microsoft Power BI expert, with 10+ years working in business intelligence and marketing analytics. He is an instructor, coach and mentor for aspiring analysts, and has deep experience helping companies develop and implement full-stack BI solutions.
This path is for aspiring analysts and BI professionals looking to master a powerful stack of self-service business intelligence tools, including Excel, Power BI, MySQL and Tableau
This path is about bringing your data to LIFE, with project-based courses featuring some of the most popular data visualization platforms, including Excel, Power BI and Tableau
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