Chapman & Hall/CRC Data Science Series- Data Science A First Introduction

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  • Engels
  • Paperback
  • 9780367524685
  • 15 juli 2022
  • 456 pagina's
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Data Science: An Introduction focuses on using the R programming language in Jupyter notebooks to perform basic data manipulation and cleaning, create effective visualizations, and extract insights from data using supervised predictive models.





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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Taal
en
Bindwijze
Paperback
Oorspronkelijke releasedatum
15 juli 2022
Aantal pagina's
456
Illustraties
Met illustraties

Betrokkenen

Hoofdauteur
Tiffany Timbers
Tweede Auteur
Trevor Campbell
Hoofduitgeverij
Chapman & Hall/Crc

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Product breedte
178 mm
Product lengte
254 mm
Studieboek
Nee
Verpakking breedte
178 mm
Verpakking hoogte
254 mm
Verpakking lengte
254 mm
Verpakkingsgewicht
1950 g

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9780367524685
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