Beginning Data Science in R 4 (2nd Ed., 2nd ed.) Data Analysis, Visualization, and Modelling for the Data Scientist
Auteur : Mailund Thomas
- 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
Gives you everything you need to know to get started in data science using R language
Updated for R programming language version 4.0
A unique book by a data science expert and is based on a successful lecture series
Date de parution : 06-2022
Ouvrage de 511 p.
17.8x25.4 cm
Thème de Beginning Data Science in R 4 :
Mots-clés :
R; programming; statistics; data science; big data; machine learning; deep learning; ai; cloud; analytics; coding; software