Campesato Oswald. Data Science Fundamentals Pocket Primer

Mercury Learning and Information, 2021. — 451 p. — ISBN 978-1-68392-733-4.As part of the best-selling Pocket Primer series, this book is designed to introduce the reader to the basic concepts of data science using Python 3 and other computer applications. It is intended to be a fast-paced introduction tosome basic features of data analytics and also covers statistics, data visualization,linear algebra, and regular expressions. The book includes numerous code samplesusing Python, NumPy, R, SQL, NoSQL, and Pandas.FeaturesIncludes a concise introduction to Python 3 and linear algebra
Provides a thorough introduction to data visualization and regular expressions
Covers NumPy, Pandas, R, and SQL
Introduces probability and statistical concepts
Features numerous code samples throughout