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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.
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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