Table of Contents

1. How to Use This Book.- 2. Getting Data into and out of Python.- 3. Preparing Data is Half the Battle.- 4. Finding the Meaning.- 5. Visualizing Data.- 6. Practice Problems.

About the Author

AJ Henley is teaching courses on data analysis using Python, Java and more.  He is a technology educator with over 20 years experience as a developer, designer and systems engineer. He is an instructor at Howard University and Montgomery College.
Dave Wolf is a certified Project Management Professional (PMP) with over twenty years' experience as a software developer, analyst and trainer.  His latest projects include collaboratively developing training materials and programming bootcamps for Java and Python.

Reviews

“The present book is built as an accessible, yet thorough introduction to data analysis using Python as programming environment. … The style of the book and textbook-like presentation of concepts recommend it as a good starting point for novices who wish either to understand more about data analysis or wish to learn Python through meaningful examples.” (Irina Ioana Mohorianu, zbMATH 1393.68002, 2018)