Beginning Data Science in R 4
- Paperback: 539 pages
- Publisher: WOW! eBook; 2nd edition (June 24, 2022)
- Language: English
- ISBN-10: 1484281543
- ISBN-13: 978-1484281543
Beginning Data Science in R 4: Data Analysis, Visualization, and Modelling for the Data Scientist, 2nd Edition
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, 2nd 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.
- 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
Modern data analysis requires computational skills and usually a minimum of programming. After reading and using this Beginning Data Science in R 4: Data Analysis, Visualization, and Modelling for the Data Scientist, 2nd Edition 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.