Dealing with Data Pocket Primer

As part of the best-selling Pocket Primer series, this book is designed to introduce the reader to the basic concepts of managing data using a variety of computer languages and applications. It is intended to be a fast-paced introduction to some basic features of data management and covers statistical concepts, data-related techniques, features of Pandas, RDBMS, SQL, NLP topics, Matplotlib,and data visualization. Companion files with source code and color figures are available.

Brief Table of Contents 1: Introduction to Probability and Statistics. 2: Working with Data. 3: Introduction to Pandas. 4: Introduction to RDBMS and SQL. 5: Working with SQL and MySQL. 6: NLP and Data Cleaning. 7: Data Visualization. Index. About the Author Oswald Campesato (San Francisco, CA) is an adjunct instructor at UC-Santa Clara and specializes in Deep Learning, Java, Android, and TensorFlow. He is the author/ co-author of over twenty-five books including TensorFlow 2 Pocket Primer, Python 3 for Machine Learning, and the NLP Using R Pocket Primer (all Mercury Learning).