Becoming a Data Scientist (with Renée Teate)
What are the paths to becoming a data scientist, common data scientist profiles, and how to figure out which ones may be a fit for you?
About Renée Teate
Renée Teate is a Data Scientist at higher ed analytics start-up HelioCampus, and creator and host of the Becoming a Data Scientist Podcast and @becomingdatasci Twitter account.
Renee is a graduate of James Madison University and the University of Virginia, and has worked with data for her entire career: from starting a local database design and web development business, to working as a data analyst at both JMU and Rosetta Stone, to eventually becoming a data scientist working with data from universities around the US.
She enjoys helping people from a wide variety of backgrounds find learning resources in order to transition into a data science career, and truly believes that anyone can become a data scientist!
Links from the show
FROM THE INTERVIEW
- Becoming a Data Scientist (Renée's Blog)
- Renée's Twitter
- Data Sci Guide (Data Science Learning Directory)
FROM THE SEGMENTS
Statistical Distributions and their Stories (with Justin Bois at ~19:20)
Programming Topic of the Week (with Emily Robinson at ~43:20)
- Categorical Data in the Tidyverse, a DataCamp Course taught by Emily Robinson.
- R for Data Science Book by Hadley Wickham (Factors Chapter)
- Inference for Categorical Data, a DataCamp Course taught by Andrew Bray.
- stringsAsFactors: An unauthorized biography (Roger Peng, July 24, 2015)
- Wrangling categorical data in R (Amelia McNamara & Nicholas J Horton, August 30, 2017)
Original music and sounds by The Sticks.
