Explore the popular R language for data science and statistical computing. Learn to use RStudio, represent real-world data, and create visualizations.
An introduction to programming using a language called R, a popular language for statistical computing and graphics in data science and other domains. Learn to use RStudio, a popular integrated development environment (IDE). Learn to represent real-world data with vectors, matrices, arrays, lists, and data frames. Filter data with conditions, via which you can analyze subsets of data. Apply functions and loops, via which you can manipulate and summarize data sets. Write functions to modularize code and raise exceptions when something goes wrong. Tidy data with R's tidyverse and create colorful visualizations with R's grammar of graphics. By course's end, learn to package, test, and share R code for others to use. Assignments inspired by real-world data sets.
This course is an excellent introduction to programming for those interested in data science, statistics, and other domains that utilize the R language. It provides a solid foundation in programming concepts while focusing on the practical applications of R. The course is suitable for both beginners and those with some programming experience who want to expand their skills in the R ecosystem.
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