Python for Data Science For Dummies, 2ed
Description
Python is a general-purpose programming language that is popular with data scientists. It is free, as are a number of open-source libraries help acquire, organize, and process information. This book is designed for beginners to data analysis and covers the basics of Python data analysis programming and statistics. The book covers the Python fundamentals that are necessary to data analysis, including objects, functions, modules, and libraries. 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.
Related Resources
Table of Contents
Introduction
About This Book
Foolish Assumptions
Icons Used in This Book
Beyond the Book
Where to Go from Here
Part 1: Getting Started With Data Science and Python
Chapter 1: Discovering the Match between Data Science and Python
- Defining the Sexiest Job of the 21st Century
- Considering the emergence of data science
- Outlining the core competencies of a data scientist
- Linking data science, big data, and AI
- Understanding the role of programming
- Creating the Data Science Pipeline
- Preparing the data
- Performing exploratory data analysis
- Learning from data
- Visualizing
- Obtaining insights and data products
- Understanding Python's Role in Data Science
- Considering the shifting profile of data scientists
- Working with a multipurpose, simple