Klaviyo Data Science Podcast EP 2 | Starting out in Data Science

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