[Charles Wheelan Author of Naked Statistics] Why Data Projects Should Start with “Why”

“I don't love statistics. I don't love economics. I love what economics and statistics can do for me.” - Charles Wheelan In this episode of Data Chats, Chris Richardson interviews Charles Wheelan, senior lecturer and policy fellow at the Rockefeller Center at Dartmouth College and author of several books, including Naked Statistics, Naked Economics and Naked Money.   They discuss: How to approach complicated topics like data and statistics when that’s not your area of expertise Examples of organizations using data brilliantly and examples of why data might fail Why persistence and investment are needed for successful quality data collection Why do we have to approach metrics cautiously to prevent distortion Find all of Charles resources at https://charleswheelan.com/   Continued LearningData Science for Business LeadersThis course teaches you how to partner with data professionals to uncover business value, make informed decisions and solve problems. Learn More   Business-Driven Data AnalysisThis course teaches a proven, repeatable approach that you can leverage across data projects and toolsets to deliver timely data analysis with actionable insights. Learn More

Om Podcasten

Pragmatic Institute‘s data podcast, where we cover emerging and relevant topics in data science, data analytics, data engineering and pretty much all things data.