Data Science: A First Introduction (Chapman & Hall/CRC Data Science Series)

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Synopsis
Data Science: A First Introduction focuses on using the R programming language in Jupyter notebooks to perform data manipulation and cleaning, create effective visualizations, and extract insights from data using classification, regression, clustering, and inference. The text emphasizes workflows that are clear, reproducible, and shareable, and includes coverage of the basics of version control. All source code is available online, demonstrating the use of good reproducible project workflows. Based on educational research and active learning principles, the book uses a modern approach to R and includes accompanying autograded Jupyter worksheets for interactive, self-directed learning. The book will leave readers well-prepared for data science projects. The book is designed for learners from all disciplines with minimal prior knowledge of mathematics and programming. The authors have honed the material through years of experience teaching thousands of undergraduates in the University of British Columbia’s DSCI100: Introduction to Data Science course.
Copyright:
2022

Book Details

Book Quality:
Publisher Quality
Book Size:
456 Pages
ISBN-13:
9781000579642
Related ISBNs:
9781003080978, 9780367532178, 9780367524685
Publisher:
CRC Press
Date of Addition:
Copyrighted By:
Tiffany Timbers, Trevor Campbell and Melissa Lee
Adult content:
No
Language:
English
Has Image Descriptions:
No
Categories:
Nonfiction, Computers and Internet, Business and Finance, Mathematics and Statistics
Submitted By:
Bookshare Staff
Usage Restrictions:
This is a copyrighted book.

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