The Data Science Handbook is a compilation of in-depth interviews with 25 remarkable data scientists, where they share their insights, stories, and advice.

These 25 data scientists hail from a wide selection of backgrounds, disciplines, and industries.

Some of them, like DJ Patil and Hilary Mason, were part of the trailblazing wave of data scientists who catapulted the field into national attention.

Others are at the start of their careers, such as Clare Corthell, who made her own path to data science by creating the Open Source Data Science Masters, a self-guided curriculum built on freely available internet resources.

This book is NOT a technical guide to data science. The data scientists in the book nevertheless touch upon common career questions like:

What separates the work of a data scientists from a statistician, and a software engineer? How can they work together?
What should you look for when evaluating data science roles at companies?
What does it take to build an effective data science team?
What mindsets, techniques and skills distinguishes a great data scientist from the merely good?
What lies in the future for data science?
...and more

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