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Beginning Data Science in R 4 - Data Analysis, Visualization, and Modelling for the Data Scientist (Paperback, 2nd ed.)
Loot Price: R1,197
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Beginning Data Science in R 4 - Data Analysis, Visualization, and Modelling for the Data Scientist (Paperback, 2nd ed.)
Expected to ship within 9 - 15 working days
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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.
General
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