Python for Data Science For Dummies

John Paul Mueller

ISBN 10: 1119547628 / ISBN 13: 9781119547624

Published by For Dummies, 2019

About this Item

The fast and easy way to learn Python programming and statistics Python is a general-purpose programming language created in the late 1980s?and named after Monty Python?that's used by thousands of people to do things from testing microchips at Intel, to powering Instagram, to building video games with the PyGame library.  Python For Data Science For Dummies is written for people who are new to data analysis, and discusses the basics of Python data analysis programming and statistics. The book also discusses Google Colab, which makes it possible to write Python code in the cloud. Get started with data science and PythonVisualize informationWrangle dataLearn from data The book provides the statistical background needed to get started in data science programming, including probability, random distributions, hypothesis testing, confidence intervals, and building regression models for prediction.

Seller Inventory # CIN1119547628G

Bibliographic Details

• Title: Python for Data Science For Dummies
• Publisher: For Dummies
• Publication Date: 2019
• Language: English
• ISBN 10: 1119547628
• ISBN 13: 9781119547624
• Binding: Paperback
• Edition: 2nd Edition
• Condition: Good

About this title

Synopsis

The fast and easy way to learn Python programming and statistics

Python is a general-purpose programming language created in the late 1980s―and named after Monty Python―that's used by thousands of people to do things from testing microchips at Intel, to powering Instagram, to building video games with the PyGame library. 

Python For Data Science For Dummies is written for people who are new to data analysis, and discusses the basics of Python data analysis programming and statistics. The book also discusses Google Colab, which makes it possible to write Python code in the cloud.

• Get started with data science and Python
• Visualize information
• Wrangle data
• Learn from data

The book provides the statistical background needed to get started in data science programming, including probability, random distributions, hypothesis testing, confidence intervals, and building regression models for prediction.

About the Author

John Paul Mueller is a tech editor and the author of over 100 books on topics from networking and home security to database management and heads-down programming. Follow John's blog at blog.johnmuellerbooks.com/. Luca Massaron is a data scientist who specializes in organizing and interpreting big data and transforming it into smart data. He is a Google Developer Expert (GDE) in machine learning.