This course is a gentle introduction to programming in R designed for 3 types of learners. It will be right for you, if: 鈥� you want to do data analysis but don鈥檛 know programming 鈥� you know programming but aren鈥檛 familiar with R 鈥� you know some R programming but want to learn the tidyverse verbs You will learn to do data visualization and analysis in a reproducible manner and use functions that allow your code to be easily read and understood. You will use RMarkdown to create nice documents and reports that execute your code freshly every time it鈥檚 run and that capture your thoughts about the data along the way. This course has been designed for learners from non-STEM backgrounds to help prepare them for more advanced data science courses by providing an introduction to programming and to the R language. I am excited for you to join me on the journey! The course logo was created using images of stickers from the RStudio shop. Please visit https://swag.rstudio.com/s/shop.
Introduction to ggplot2
Skills You'll Learn
Tidyverse (R Package), Data Analysis, Data Manipulation, Statistical Reporting, Programming Principles, Software Installation, Rmarkdown, Ggplot2, Debugging, Data Visualization, Statistical Programming, Data Wrangling, Data Visualization Software, R Programming
Reviews
4.2 (47 ratings)
- 5 stars57.44%
- 4 stars21.27%
- 3 stars12.76%
- 2 stars4.25%
- 1 star4.25%
JR
Jun 19, 2023
The course was a solid introduction to R Markdown using the R language. It covers using the Tidyverse libraries for basic analysis and visualizations.
EM
Nov 2, 2022
Very good course for first time R learners. Challenging but doable with some determination and attention to detail.
From the lesson
Data Visualization using ggplot2
In this module, you will be introduced to ggplot2 - an R package for data visualization. You will explore the different grammatical elements and aesthetic mappings (layers) that are essential to visualize data in ggplot2.
Taught By
Jane Wall
Faculty Director of Data Science Programs