Deep R Programming
Marek Gagolewski
TL;DR
Deep R Programming is a comprehensive, freely accessible course that teaches data science, statistics, and machine learning using R, aimed at empowering learners to independently solve complex data problems.
Contribution
It provides an in-depth, free resource for learning R tailored for data science, combining theoretical knowledge with practical skills for diverse applications.
Findings
Accessible online and PDF versions available
Covers data wrangling, analytics, and machine learning in R
Designed for self-directed learning and professional development
Abstract
Deep R Programming is a comprehensive and in-depth introductory course on one of the most popular languages for data science. It equips ambitious students, professionals, and researchers with the knowledge and skills to become independent users of this potent environment so that they can tackle any problem related to data wrangling and analytics, numerical computing, statistics, and machine learning. This textbook is a non-profit project. Its online and PDF versions are freely available at <https://deepr.gagolewski.com/>.
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Taxonomy
TopicsData Analysis with R
MethodsBalanced Selection