Name: Beginning Data Science in R 4
Brand: Springer Verlag
SKU: 9781484281543
Price: 3860.0 INR
Availability: InStock

Beginning Data Science in R 4

by Thomas Mailund

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ISBN13: 9781484281543
Binding: Paperback
Subject: Computer Science and Information Technology
Publisher: Springer Verlag
Publisher Imprint: Apress
Publication Date: October 16, 2022
Pages: 511
Original Price: EUR 54.99
Language: English
Edition: N/A
Item Weight: 930 grams
BISAC Subject(s): Programming / Compilers

About The Book

Discover best practices for data analysis and software development in R and start on the path to becoming a fully-fledged data scientist. Updated for the R 4.0 release, this book teaches you techniques for both data manipulation and visualization and shows you the best way for developing new software packages for R. Beginning Data Science in R 4, Second Edition details how data science is a combination of statistics, computational science, and machine learning. You’ll see how to efficiently structure and mine data to extract useful patterns and build mathematical models. This requires computational methods and programming, and R is an ideal programming language for this. Modern data analysis requires computational skills and usually a minimum of programming. After reading and using this book, you'll have what you need to get started with R programming with data science applications. Source code will be available to support your next projects as well. Source code is available at github.com/Apress/beg-data-science-r4. What You Will Learn Perform data science and analytics using statistics and the R programming language Visualize and explore data, including working with large data sets found in big data Build an R package Test and check your code Practice version control Profile and optimize your code Who This Book Is For Those with some data science or analytics background, but not necessarily experience with the R programming language.

About The Author

Thomas Mailund is an associate professor in bioinformatics at Aarhus University, Denmark. His background is in math and computer science but for the last decade his main focus has been on genetics and evolutionary studies, particularly comparative genomics, speciation, and gene flow between emerging species.

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