R Programming: Statistical Computing & Data Science
A powerful programming language widely used for statistical computing, data analysis, and visualization in data science.
A powerful programming language widely used for statistical computing, data analysis, and visualization in data science.
R is a versatile programming language and environment specifically designed for statistical computing and graphics. It is extensively used by data scientists, statisticians, and researchers for data manipulation, analysis, and visualization. R supports a vast ecosystem of packages that simplify complex statistical methods, machine learning algorithms, and graphical representations. Whether you’re performing basic data analysis or developing advanced predictive models, R provides an accessible and powerful platform for tackling data science challenges.
A computer (Windows/Mac/Linux)
Internet access for downloading R and RStudio
No prior programming knowledge required
Willingness to practice and explore coding challenges
R syntax, variables, and data types
Functions, both built-in and user-defined
Comprehensive understanding of R’s data structures
Best practices for modular R programming
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language
English
Duration
15h 43mLevel
beginner
Expiry period
Lifetime
Certificate
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