As part of the best-selling emPocket Primerem 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. pbFEATURES brbulliIncludes a concise introduction to Python 3 and linear algebraliululliProvides a thorough introduction to data visualization and regular expressionsliululliCovers NumPy, Pandas, R, and SQLliululliIntroduces probability and statistical conceptsliululliFeatures numerous code samples throughoutliululliCompanion files with source code and figuresliulThe companion files are available online by emailing the publisher with proof of purchase at infomerclearning.com.