R Programming for Beginners (R Programming 101)

About this course

Greg Martin's friendly introduction to R and RStudio for data analysis: importing data, cleaning and wrangling it with the tidyverse, summarising and testing. Who it's for: students and researchers starting data analysis in R. These are the free, official videos of the "R programming for beginners" playlist from the R Programming 101 YouTube channel (youtube.com/@rprogramming101). All videos belong to R Programming 101; Sikhami is not affiliated with R Programming 101 and simply arranges the public playlist into a course, so you can learn one lesson at a time and keep track of your progress.

What you will learn

• Why use R, and installing R and RStudio • Importing data from Excel • Manipulating data with the tidyverse and dplyr • Renaming, recoding and handling missing values • Exploring, describing and summarising data • Functions, objects and conditional statements • Statistical tests such as the chi-squared test

Course content

1 section · 27 lectures · 5h 52m

1. 1. R programming for beginners

   • R programming for beginners - Why you should use R3m
   • How to install R and install R Studio. How to use R studio | R programming for beginners7m
   • How to import data and install packages. R programming for beginners.11m
   • How to import data from excel into R studio. R programming for beginners8m
   • R programming for beginners. Manipulate data using the tidyverse: select, filter and mutate.6m
   • Data types in R programming7m
   • R programming for beginners: Rename variables and reorder columns. Data cleaning and manipulation.3m
   • Recoding data using R programming. Using the tidyverse and dplyr packages to create a new variable7m
   • 10 data filtering tips using R programming. Use the tidyverse to filter and subset your data.7m
   • R programming for beginners: using functions and objects in R11m
   • Explore your data using R programming25m
   • Clean your data with R. R programming for beginners.27m
   • Manipulate your data. Data wrangling. R programmning for beginners.29m
   • Describe and Summarise your data19m
   • R programming in one hour - a crash course for beginners59m
   • R programming for ABSOLUTE beginners14m
   • Chi squared test using R programming3m
   • Quarto - tips and tricks15m
   • Handling Missing Data and Missing Values in R Programming | NA Values, Imputation, naniar Package15m
   • Conditional Statements in R: if_else() and case_when() Functions6m
   • Create tables in R with gtExtras (more tips and tricks)8m
   • Manipulate and clean your data in R with the dplyr package15m
   • Tidytuesday data - How to get it into R Studio3m
   • The across( ) function in R programming. A tidyverse function to make cleaning data easy.3m
   • Importing data from excel into R studio14m
   • RStudio for beginners5m
   • Create functions in R8m