Hadley Wickham talks about his journey in data science, tidy data concepts, and his many books.
Episode description
Want to be featured as a guest on Making Data Simple? Reach out to us at [almartintalksdata@gmail.com] and tell us why you should be next.
Abstract
Hosted by Al Martin, VP, Data and AI Expert Services and Learning at IBM, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.
This week on Making Data Simple, we have Hadley Wickham is Chief Scientist at RStudio, and an Adjunct Professor of Statistics at the University of Auckland, Stanford University, and Rice University. He builds tools that make data science easier and faster, including the famous tidy verse packages for the R programming language. He was named a Fellow by the American Statistical Association for "pivotal contributions to statistical practice through innovative and pioneering research in statistical graphics and computing".
Show Notes
2:39 – Hadley talks about his journey
5:22 – Hadley talks about his American Statistical Association for "pivotal contributions to statistical practice"
8:00 – Tidy data concept
9:02 - How Hadley became interested in big data and R
10:12 – Python and R
12:30 – What Hadley is doing now
13:47 – Top 3 packages that help data scientists
17:47 – Hadley discusses his book
22:48 – Writing a book vs. code
29:40 – What language is going to take over
31:01 – What’s next for data
31:54 – What’s cool for Hadley
36:26 – Hadley’s Role model
Hadley Wickham’s books
Hadl
Want to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.