Data Science A First Introduction | Statistics
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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 le…
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