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Elements of Data Science
Elements of Data Science
- ISBN 13:
9781718502901
- ISBN 10:
1718502907
- Format: Paperback
- Copyright: 11/14/2023
- Publisher: No Starch Press
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Summary
Through practical projects and interesting exercises, learn how to work with data using Python—no prior programming knowledge needed!
Analyze vaccine efficacy, support for gun control, and more in this exercise-filled, beginner-friendly introduction to data science and Python, the leading programming language in the data science industry.
Elements of Data Science is an introduction to the discipline for people with no programming experience. Concepts are explained clearly and concisely, and exercises in each chapter demonstrate the practical purposes of various skill sets. The organization of the book itself follows the steps of a data science project: posing and refining questions, cleaning and validating data, exploratory analysis and identifying relationships between variables, generating predictions, and designing data visualizations that tell a compelling story.
Analyze vaccine efficacy, support for gun control, and more in this exercise-filled, beginner-friendly introduction to data science and Python, the leading programming language in the data science industry.
Elements of Data Science is an introduction to the discipline for people with no programming experience. Concepts are explained clearly and concisely, and exercises in each chapter demonstrate the practical purposes of various skill sets. The organization of the book itself follows the steps of a data science project: posing and refining questions, cleaning and validating data, exploratory analysis and identifying relationships between variables, generating predictions, and designing data visualizations that tell a compelling story.
