Well, weâve sure covered a lot. We started with defining data science and what skills you need to do it, walked through how to prepare for and get a data science job, and then discussed how to grow and flourish in the field. Over 16 chapters, we went from understanding different types of companies to making unit testing for production models to becoming a manager.
When you look at the book holistically, a few trends seem to flow through it. These lessons apply to all points of a data scientistâs journey in different forms. For us, these three ideals have kept our careers continuously moving forward:
- A data scientist needs to be able to communicate. Over and over, people we interviewed for the book mentioned that their success ...