Python for Data Analysis (Murach)
Monday, 06 September 2021

This book shows how to do data analysis using techniques and tools including descriptive analysis, the use of Pandas to analyze the data and Seaborn to create visualizations that present your findings effectively. Scott McCoy shows how to get started with predictive analysis, using Scikit-learn with linear regression models. McCoy illustrates the concepts using four real-world case studies in political, environmental, social, and sports analytics.

<ASIN:‎ 1943872767>


Author: Scott McCoy
Publisher: Murach
Date: August 2021
Pages: 600
ISBN: 978-1943872763
Print: ‎ 1943872767
Audience: Python developers
Level: Intermediate
Category: Python


For recommendations of Python books see Books for Pythonistas and Python Books For Beginners in our Programmer's Bookshelf section.

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