Elements of Data Science

Getting Started with Data Science and Python


Elements of Data Science
Elements of Data Science
CC BY-NC-SA

Book Details

Author Allen Downey
Publisher Green Tea Press
Published 2021
Edition 1st
Paperback 290 pages
Language English
ISBN-13 9780971677517
ISBN-10 0971677514
License Creative Commons Attribution-NonCommercial-ShareAlike

Book Description

Elements of Data Science is an introduction to the practical skills of working with data, written for people with no programming experience. Concepts are explained clearly and concisely, and exercises in each chapter demonstrate the real-world use of each feature.
- Step-by-Step Approach: Learn how to execute a data science project from start to finish, formulating questions, visualizing data, applying statistical methods, and communicating results.
- Practical Python Programming: This book starts with basic Python concepts and builds up to advanced data processing and analysis techniques.
- Interactive Learning: Jupyter notebooks are available for each chapter, so readers can follow along, run experiments, and build understanding through hands-on exercises.
- Solid Foundation: Explore fundamental concepts such as exploratory data analysis, statistical inference, regression analysis, classification algorithms, and more, all through the lens of real-world case studies.

Whether you're a student, a professional, or simply curious about the power of data, Elements of Data Science provides essential tools for finding insights in data.


This book is available under a Creative Commons Attribution-NonCommercial-ShareAlike license (CC BY-NC-SA), which means that you are free to copy, distribute, and modify it, as long as you credit the original author, don't use it for commercial purposes, and share any adaptations under the same license.

If you enjoyed the book and would like to support the author, you can purchase a printed copy (hardcover or paperback) from official retailers.

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