The Data Science Handbook: Advice and Insights from 25 Amazing Data Scientists

The Data Science Handbook: Advice and Insights from 25 Amazing Data Scientists

A compilation of in-depth interviews with 25 data scientists from a wide selection of backgrounds, disciplines, and industries, where they share their insights, stories, and advice.

Tag(s): Data Science

Publication date: 19 Jun 2015

ISBN-10: 0692434879

ISBN-13: 9780692434871

Paperback: 346 pages

Views: 2,656

Type: Book

Publisher: The Data Science Bookshelf

License: n/a

Post time: 13 Dec 2016 04:00:00

The Data Science Handbook: Advice and Insights from 25 Amazing Data Scientists

The Data Science Handbook: Advice and Insights from 25 Amazing Data Scientists A compilation of in-depth interviews with 25 data scientists from a wide selection of backgrounds, disciplines, and industries, where they share their insights, stories, and advice.
Tag(s): Data Science
Publication date: 19 Jun 2015
ISBN-10: 0692434879
ISBN-13: 9780692434871
Paperback: 346 pages
Views: 2,656
Document Type: Book
Publisher: The Data Science Bookshelf
License: n/a
Post time: 13 Dec 2016 04:00:00
From the Book Description:
Chen, Shan, Song, and Wang wrote:The Data Science Handbook contains 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.




About The Editor(s)


William is a data scientist at Quora, where he helps grow and share the world’s knowledge. He is also an avid writer on Quora, where he answers questions on data science, statistics, machine learning, probability, and more. William co-authored this book to share the stories of data scientists and help others who want to enter the profession. William holds a Bachelors in Statistics and a Masters in Applied Mathematics from Harvard.

William Chen

William is a data scientist at Quora, where he helps grow and share the world’s knowledge. He is also an avid writer on Quora, where he answers questions on data science, statistics, machine learning, probability, and more. William co-authored this book to share the stories of data scientists and help others who want to enter the profession. William holds a Bachelors in Statistics and a Masters in Applied Mathematics from Harvard.


Carl is a Data Science for Social Good Fellow in Chicago, where he works with President Obama's former Chief Scientist on applying machine learning and data science to pressing policy issues. He's written extensively on his experiences in applying machine learning to social issues. Carl holds an honors degree in Statistics from UC Berkeley.

Carl Shan

Carl is a Data Science for Social Good Fellow in Chicago, where he works with President Obama's former Chief Scientist on applying machine learning and data science to pressing policy issues. He's written extensively on his experiences in applying machine learning to social issues. Carl holds an honors degree in Statistics from UC Berkeley.


Max is a data scientist currently working on secret projects in Paris. Previously, he was the youngest data scientist at DARPA-backed startup Ayasdiwhere he used topological data analysis and machine learning to build predictive models. He wrote a popular post about his journey to become a data scientist on Medium, and enjoys the craft of writing. At the time of writing, he is on leave from Applied Mathematics-Biology at Brown.

Max Song

Max is a data scientist currently working on secret projects in Paris. Previously, he was the youngest data scientist at DARPA-backed startup Ayasdiwhere he used topological data analysis and machine learning to build predictive models. He wrote a popular post about his journey to become a data scientist on Medium, and enjoys the craft of writing. At the time of writing, he is on leave from Applied Mathematics-Biology at Brown.


Henry is an investment analyst with New Zealand’s sovereign wealth fund, where he focuses on private investments in alternative energy technologies. He is interested in the intersection of data science and traditional capital intensive industries, where data driven techniques can be used to better inform operational and investment decisions. Henry holds a Bachelors in Statistics from UC Berkeley.

Henry Wang

Henry is an investment analyst with New Zealand’s sovereign wealth fund, where he focuses on private investments in alternative energy technologies. He is interested in the intersection of data science and traditional capital intensive industries, where data driven techniques can be used to better inform operational and investment decisions. Henry holds a Bachelors in Statistics from UC Berkeley.


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