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Learn the fundamentals of R programming through a comprehensive tutorial series covering essential skills for data science beginners. Set up your R programming environment by installing R, RStudio, and exploring RStudio.cloud as cloud-based alternatives. Master variable definition techniques and understand different data types in R. Develop file handling capabilities by learning to read and write CSV files for data import and export operations. Explore advanced integration techniques by discovering how to use Python within R environments for enhanced functionality. Gain practical experience using native R on Google Colab platform for data science projects, providing you with flexible cloud-based development options for your R programming journey.
Syllabus
R Programming 101: Setting up R programming environment (R, RStudio and RStudio.cloud)
R Programming 101: How to Define Variables
R Programming 101: Read and Write CSV files
Using Python in R
Use native R on Google Colab for Data Science
Taught by
Data Professor