Practical Statistics for Data Scientists: 50 Essential Concepts 1st Edition, Kindle Edition

4.4 out of 5 stars 186 ratings
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ISBN-13: 978-1491952962
ISBN-10: 1491952962
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Editorial Reviews

Book Description

50 Essential Concepts

About the Author

Peter Bruce founded and grew the Institute for Statistics Education at Statistics.com, which now offers about 100 courses in statistics, roughly a third of which are aimed at the data scientist. In recruiting top authors as instructors and forging a marketing strategy to reach professional data scientists, Peter has developed both a broad view of the target market, and his own expertise to reach it.

Andrew Bruce has over 30 years of experience in statistics and data science in academia, government and business. He has a Ph.D. in statistics from the University of Washington and published numerous papers in refereed journals. He has developed statistical-based solutions to a wide range of problems faced by a variety of industries, from established financial firms to internet startups, and offers a deep understanding the practice of data science.


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4.4 out of 5 stars
4.4 out of 5
186 customer ratings
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Reviewed in the United States on April 18, 2018
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Reviewed in the United States on November 13, 2018
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Top international reviews

Deep Shah
4.0 out of 5 stars A good book to start the journey of data science
Reviewed in the United Kingdom on March 10, 2020
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Xavier Dw
4.0 out of 5 stars Good read
Reviewed in the United Kingdom on October 22, 2019
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Abinesh & Dharshini
5.0 out of 5 stars Exactly what I was looking for
Reviewed in India on November 16, 2018
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L.
2.0 out of 5 stars Nicht das was das was man bei dem Titel erwartet
Reviewed in Germany on August 18, 2019
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Xenon
3.0 out of 5 stars Good walkthrough of statistical concepts
Reviewed in India on January 2, 2020
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Sunny
2.0 out of 5 stars Brief text book
Reviewed in India on September 5, 2018
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Ivan
4.0 out of 5 stars Bom, mas um pouco confuso às vezes.
Reviewed in Brazil on June 26, 2018
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G. Horne
5.0 out of 5 stars Statistical Handbook for Students and Practitioners
Reviewed in Canada on March 23, 2018
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AS
3.0 out of 5 stars Don’t buy if you have access to e-book
Reviewed in Canada on December 4, 2017
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Amazon Customer
4.0 out of 5 stars Good book clearly differentiate the terminology in statistics and data ...
Reviewed in India on October 24, 2017
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Rodrigo Silva
3.0 out of 5 stars Very shallow.
Reviewed in Brazil on October 23, 2018
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Vimal Jose
5.0 out of 5 stars Good for a quick refresher
Reviewed in India on March 16, 2018
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Cliente Amazon
5.0 out of 5 stars Conciso y claro
Reviewed in Spain on March 20, 2020
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krish
5.0 out of 5 stars Must have book under Data science - Statistics
Reviewed in India on July 5, 2017
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Jaydip J.
5.0 out of 5 stars Five Stars
Reviewed in India on August 25, 2017
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