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Data Science : A First Introduction - Tiffany Timbers

Data Science

A First Introduction

By: Tiffany Timbers, Trevor Campbell, Melissa Lee

eText | 15 July 2022 | Edition Number 1

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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.

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You Can Find This eBook In

Non-FictionEconomicsEconometricsEconomic StatisticsComputing & I.T.DatabasesData MiningMathematicsProbability & StatisticsComputer ScienceArtificial IntelligenceEngineering & Technology
Environmental ScienceElectronics & Communications EngineeringElectronics EngineeringAutomatic Control Engineering

Other Editions and Formats

Hardcover

Published: 15th July 2022

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