In this episode, we discuss how our careers in data science began, lessons we’ve learned along the way, and mistakes we’ve made and learned from. You can expect to hear:

• When we stopped wanting to be astronauts and started wanting to be data scientists
• Advice we’d give to anyone just starting in the field
• Advice we’d give to anyone currently at the helm of a dinosaur-based movie franchise

Resources We mention a few books and other resources in the course of this episode. Check them out here:

• The Elements of Statistical Learning by Trevor Hastie, Robert Tibshirani, and Jerome Friedman: https://web.stanford.edu/~hastie/ElemStatLearn/
• Statistical Rethinking by Richard McElreath: https://xcelab.net/rm/statistical-rethinking/
• Linear algebra: Foundations to Frontiers on edX: https://www.edx.org/course/linear-algebra-foundations-to-frontiers
• Blog posts: http://www.terran.us/talks/201808_successful_project.pdf, https://www.fast.ai/2018/07/12/auto-ml-1/, https://eng.lyft.com/whats-in-a-name-ce42f419d16c