Beginning Data Science in R 4: Data Analysis, Visualization, and Modelling for the Data Scientist

Discover best practices for data analysis and software development in R and start on the path to...
Dhs. 241.41 AED
Dhs. 241.41 AED
SKU: 9781484281543
Product Type: Books
Please hurry! Only 639 left in stock
Author: Thomas Mailund
Format: Paperback
Language: English
Subtotal: Dhs. 241.41
Beginning Data Science in R 4: Data Analysis, Visualization, and Modelling for the Data Scientist by Mailund, Thomas

Beginning Data Science in R 4: Data Analysis, Visualization, and Modelling for the Data Scientist

Dhs. 241.41

Beginning Data Science in R 4: Data Analysis, Visualization, and Modelling for the Data Scientist

Dhs. 241.41
Author: Thomas Mailund
Format: Paperback
Language: English
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.

Author: Thomas Mailund
Publisher: Apress
Published: 06/24/2022
Pages: 511
Binding Type: Paperback
Weight: 2.04lbs
Size: 10.00h x 7.00w x 1.09d
ISBN: 9781484281543

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