9781943872763-1943872767-Murach's Python for Data Analysis (Training & Reference)

Murach's Python for Data Analysis (Training & Reference)

ISBN-13: 9781943872763
ISBN-10: 1943872767
Author: Scott Mccoy
Publication date: 2021
Publisher: Mike Murach & Associates Inc
Format: Paperback 559 pages
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ISBN-13: 9781943872763
ISBN-10: 1943872767
Author: Scott Mccoy
Publication date: 2021
Publisher: Mike Murach & Associates Inc
Format: Paperback 559 pages

Summary

Murach's Python for Data Analysis (Training & Reference) (ISBN-13: 9781943872763 and ISBN-10: 1943872767), written by authors Scott Mccoy, was published by Mike Murach & Associates Inc in 2021. With an overall rating of 4.5 stars, it's a notable title among other Data Mining (Databases & Big Data) books. You can easily purchase or rent Murach's Python for Data Analysis (Training & Reference) (Paperback, Used) from BooksRun, along with many other new and used Data Mining books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $27.77.

Description

Product Description
Data analysts are in demand everywhere today! And now, Murach’s Python for Data Analysis shows you how to do data analysis the way the pros do. You’ll master descriptive analysis, using Pandas to analyze the data and Seaborn to create the visualizations that let you present your findings effectively. You’ll get started with predictive analysis, using Scikit-learn with linear regression models. And you’ll be guided right from the start by 4 real-world case studies in political, environmental, social, and sports analytics…essential for learning and great perspective for applying your new skills in your own field. See for yourself how quickly and easily this book can turn you into the data analyst that employers are looking for.
About the Author
Scott McCoy is a professional programmer, and has worked in a variety of domains including bioinformatics, IT automation, security, and data analytics. He holds a B.S. in computer science and a Microsoft certification in database technologies. In his free time, Scott enjoys reading, hiking, and spending time with his family.

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