Putting the ‘R’ in PoweR BI & Learning Statistical Inference with Sports Data
Putting the ‘R’ in PoweR BI
Are you using R in your organization? Are you considering using R but don’t know how to share your impactful results to a wide audience? This presentation will address the mechanics - how to do it, what's required, and how to set it up – of using R in Power BI to communicate your data story. We’ll also learn where can R complement Power BI functionality, and how R can help us surpass the limits of DAX and M for advanced analytics, and unlock thousands of new visualizations!
About the Speaker
Greg Baldini is a BI Consultant with Nihilent Technologies, Inc. His primary experience lies in dimensional model design; delivering enterprise analytics with Tabular and Power Pivot; and dashboard and report development. An expert in DAX, he has delivered solutions in many spaces including manufacturing, healthcare, fraud analysis, marketing pipelines, and sales performance.
Learning Statistical Inference with Sports Data
A solid foundation of statistics and classical statistical inference is key to unlocking a much deeper understanding of machine learning. In this talk, you will learn how historical sports data can be used to make learning statistics fun; while conveying key topics in statistics.
About the Speaker
Bart Czernicki is a Advanced Analytics Technical Architect at Microsoft. He engages selected ISVs hands-on to help them accelerate their software adoption of advanced analytics and artificial intelligence solutions on Azure. He has authored two books on business intelligence and currently working on a third (“Uncovering Sports Insights with Statistics & Advanced Analytics”). Before joining Microsoft, Bart was responsible for the technology for two big data & analytics organizations for several years.