Download PDF The Data Science Handbook: Advice and Insights from 25 Amazing Data Scientists By Carl Shan, William Chen, Henry Wang, Max Song
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The Data Science Handbook: Advice and Insights from 25 Amazing Data Scientists By Carl Shan, William Chen, Henry Wang, Max Song
Download PDF The Data Science Handbook: Advice and Insights from 25 Amazing Data Scientists By Carl Shan, William Chen, Henry Wang, Max Song
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- Sales Rank: #94293 in Books
- Published on: 2015-06-19
- Original language: English
- Dimensions: 9.00" h x .78" w x 6.00" l,
- Binding: Paperback
- 346 pages
Review
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)
About the Author
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.
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