The Data Science Handbook contains candid interviews with 25 of the world’s best data scientists.
We sat down with them, had in-depth conversations about their careers, personal stories, perspectives on data science and life advice.
In The Data Science Handbook, you will find war stories from DJ Patil, US Chief Data Officer and one of the founders of the field. You’ll learn industry veterans such as Kevin Novak and Riley Newman, who head the data science teams at Uber and Airbnb respectively. You’ll also read about rising data scientists such as Clare Corthell, who crafted her own open source data science masters program.
This book is perfect for aspiring or current data scientists to learn from the best. It’s a reference book packed full of strategies, suggestions and recipes to launch and grow your own data science career.
Table of ContentsThis book contains insight and interviews with data scientists from established companies such as Facebook, LinkedIn, Pandora, Intuit, and The New York Times.
We also spoke with data scientists at fast-growing startups such as Uber, Airbnb, Mattermark, Quora, Square and Khan Academy.
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About the Authors
The four co-authors are all practicing data scientists.
They've worked in places like billion-dollar technology startup Quora, machine learning startup Ayasdi, and e-commerce website Etsy.
Between the four of them, the authors have done things from applying machine learning to public policy under President Obama’s former Chief Scientist to using data-driven methods to find ways to invest multi-billion dollar investment funds.
The authors of this book have a knack for getting data scientists to open up and share their wisdom about skill and career development, the role of data scientists in organizations, and more. If you're an aspiring data scientist, The Data Science Handbook will provide a great view of the landscape of this new career path, and how to succeed as a data scientist. If you're leading data science teams, this book can shed light on how to work with and develop data scientists and how data scientists can be set up to succeed. --Harlan Harris (Dir. of Data Science at Education Advisory Board)
This book is written by data scientists for data scientists. The Data Science Handbook offers practical, sound advice, from the top industry experts who've collectively shaped data science into what it is today. As a data scientist, I enjoyed the book's deep interviews that cover data science career paths, application, and building data driven cultures/teams in a very relevant fashion. I think that newcomers and experienced practitioners alike will benefit from reading. --Ferris Jumah (LinkedIn Data Scientist)
The Data Science Handbook collects the wisdom and insights of many experienced data scientists. Their stories are absolutely fascinating, and their career advice is invaluable to anyone who aspires to enter the field. In particular, a PhD student who is trying to decide whether to become a data scientist will find helpful tips on which skills to polish and what classes to take, and will draw inspiration from the life lessons imparted in this collection of interviews. --Yvonne Kung (Stanford Physics PhD Candidate)
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