Becoming a Data Scientist Podcast Episode 05: Clare Corthell

Renee Teate interviews Clare Corthell, founding partner of summer.ai (now Luminant Data) and creator of the Open Source Data Science Masters curriculum, about becoming a data scientist.Podcast Audio Links:Link to podcast Episode 5 audioPodcast’s RSS feed for podcast subscription appsPodcast on StitcherPodcast on iTunes

Podcast Video Playlist:Youtube playlist of interview videos

More about the Data Science Learning Club:Data Science Learning Club Welcome MessageLearning Club Activity 5: Naive Bayes ClassificationData Science Learning Club Meet & Greet

Resources/topics mentioned by Clare in the interview:

Management Science and EngineeringMarkov ChainsScience, Technology, and Society at Stanford

A Challenge to Data Scientists (blog post Renee mentioned)

MattermarkProduct ManagementMachine Learning

Open Source Data Science MastersNate Silver’s book The Signal and the Noise

Linear Algebra (on Khan Academy)

Bill Howe’s Introduction to Data Science Coursera Course

Recurrent Neural NetsBayesian Networks

python

Google Prediction API

data cleaning

Open Source Data Science Masters on GitHub (pull requests welcome!)

summer.ai (Update 2/15 – Clare’s company is now Luminant Data, Inc.)@ClareCorthell on twitter

Other links:

SlideShare Slides about Open Source Data Science Masters

Talk Clare gave at Wrangle Conference about AI Design for Humans