Название: Data Science Fundamentals Pocket Primer
Автор: Oswald Campesato
Издательство: Mercury Learning and Information
Год: 2021
Формат: True PDF
Страниц: 451
Размер: 10 Mb
Язык: English

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.

FEATURES:
• Includes 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