num_pages: 428
description: 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 files with source code and color figures are available.The companion files are available online by emailing the publisher with proof of purchase at info@merclearning.com.
language: English
title: Data Science Fundamentals Pocket Primer
publisher: Mercury Learning and Information