Data Science Fundamentals Pocket Primer

As part of the best-selling Pocket Primerseries, 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. Companion files with source code and color figures are available. 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 Companion files with source code and figures

• | Author: Oswald Campesato
• | Publisher: Mercury Learning and Information
• | Publication Date: May 25, 2021
• | Number of Pages: 428 pages
• | Language: English
• | Binding: Paperback
• | ISBN-10: 1683927338
• | ISBN-13: 9781683927334