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Learn R programming fundamentals through this comprehensive video playlist covering installation, data manipulation, visualization, and statistical analysis. Master essential R skills starting with installing R and RStudio, then progress through importing data from various sources including Excel files. Explore data manipulation techniques using the tidyverse and dplyr packages to select, filter, mutate, rename variables, and reorder columns. Develop proficiency in data cleaning methods including handling missing values, recoding variables, and creating new variables using conditional statements with if_else() and case_when() functions. Practice data exploration and summarization techniques to describe and analyze datasets effectively. Gain hands-on experience with data visualization, statistical tests including chi-squared analysis, and advanced functions like the across() function for efficient data cleaning. Learn to create professional tables using gtExtras and work with Quarto for document creation. Build custom functions in R and apply filtering techniques with 10 practical data subsetting methods. Access real-world datasets through TidyTuesday and develop a solid foundation in R programming concepts including data types, objects, and functions for absolute beginners.
