Beginning Data Science in R 4

Name: Beginning Data Science in R 4
Brand: APress
SKU: 9781484281543
Price: 224.06 RON
Availability: InStock

Data Analysis, Visualization, and Modelling for the Data Scientist

Autor: Thomas Mailund

Limbă:

Legare: Carte broșată

Editura: APress

Disponibilitate: În depozitul extern

Expediem în 14-21 zile

224.06 lei

Discover best practices for data analysis and software development in R and start on the path to bec...

Informații despre carte

Autor

Thomas Mailund

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2022

Pagini

511

EAN

9781484281543

Enbook ID

38806231

Editura

APress

Greutate

1016

Dimensiuni

178 x 30 x 29

Descriere completă

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. 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.

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Beginning Data Science in R 4

Data Analysis, Visualization, and Modelling for the Data Scientist

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Descriere completă

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