Thank you for your kind words! I think that the exact knowledge of a data scientist will vary by industry, but there are a few basics all of us should know. Mainly, statistics: how to interpret numbers and determine if a change is significant, software engineering: how to make your code robust for deployment and understandable to others, and data management: how to acquire, clean, and process data for an analysis or predictive modeling.

Fortunately, there are lots of great resources in all these areas:

• Statistics: https://www-bcf.usc.edu/~gareth/ISL/
• Software engineering: http://openbookproject.net/thinkcs/python/english3e/
• Data management: https://jakevdp.github.io/PythonDataScienceHandbook/

Anyone else feel free to add more resources as well.

Good luck to you as you develop your data science team.