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...
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...
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...
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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