Data Science Fundamentals Pocket Primer

by Oswald Campesato

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 to some basic features of data analytics and also covers statistics, data visualization, linear algebra, and regular expressions. The book includes numerous code samples using Python, NumPy, R, SQL, NoSQL, and Pandas. Companion...

• Format: Paperback
• Language: English
• ISBN: 1683927338
• ISBN13: 9781683927334
• Release Date: May 2021
• Publisher: Mercury Learning and Information
• Length: 428 Pages
• Weight: 3.80 lbs.
• Dimensions: 1.2" x 8.3" x 11.1"