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Наука о данных

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2nd ed. — O’Reilly, 2020. — 368 p. — ISBN: 978-1492072942. Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The second edition of this practical guide—now including examples in Python as well as R—explains how to apply...
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Packt Publishing, 2021. — 499 p. — ISBN 978-1-80107-129-1. Code Files Only! A comprehensive guide for data scientists to master effective data cleaning tools and techniques Key Features Master data cleaning techniques in a language-agnostic manner Learn from intriguing hands-on examples from numerous domains, such as biology, weather data, demographics, physics, time series,...
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Manning Publications, 2020. — 350 p. — ISBN: 978-1617296529. Code files only! The beating heart of any product or service business is returning clients. Don’t let your hard-won customers vanish, taking their money with them. In Fighting Churn with Data you’ll learn powerful data-driven techniques to maximize customer retention and minimize actions that cause them to stop...
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2nd Edition. — Brian Lipp, Shubhadeep Roychowdhury, Dr. Tirthajyoti Sarkar — Packt Publishing Limited, 2020. — 575 p. — ISBN: 978-1-83921-500-1. Code files only! Simplify your ETL processes with these hands-on tips, tricks, and best practices Though huge amount of data is readily available to us, it is not useful in its raw form. For data to be meaningful, it must be curated...
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