Introduction to R Programming – A Modern Approach

Introduction to fundamentals of R programming - Writing effective, simple, and modern R codes using tidyverse and more

Created by: Robert Jeutong
Statistician

What Will I Learn?

• Basics of R programming
• Data wrangling manipulations
• Make use of the tidyverse packages which includes but not limited to purrr, dplyr, ggplot2, etc..
• Create pipelines using the pipe operator to chain instruction and transform a data frame to another
• Transform data frames then pipe them to ggplot for EDA or professional looking graphs
• Showcase the importance of a working directory
• Teach the fundamentals of R - useful beyond this course
• Understanding functions and how to use existing ones or how to create your own
• Modern techniques used in R programming by data scientists
• Install and load packages such as lubridate, readxl, esquisse, etc...
• Read and write different types of data
• Group and summarize data using the dplyr verbs
• Transpose data with dplyr pivoting functions or using the soon to be deprecated gather and spread functions

Requirements

• Simple understanding of data or a data set
• Understanding of data in tabular form
• Simple algebra

Target audience

• Aspiring data scientists, statisticians, or data analyts
• Beginner R programming developers curious about data science
• Non computer programmers who are willing to learn a fun, useful, and intuitive coding language
• Data scientists eager to learn R programming