John Hopkins University - Gettingstarted with Data Visualization in R
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Gettingstarted with Data Visualization in R at Coursera Overview
Duration | 11 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Beginner |
Official Website | Explore Free Course  |
Credential | Certificate |
Gettingstarted with Data Visualization in R at Coursera Highlights
- Earn a shareable certificate upon completion.
- Flexible deadlines according to your schedule.
Gettingstarted with Data Visualization in R at Coursera Course details
- Data visualization is a critical skill for anyone that routinely using quantitative data in his or her work - which is to say that data visualization is a tool that almost every worker needs today. One of the critical tools for data visualization today is the R statistical programming language. Especially in conjunction with the tidyverse software packages, R has become an extremely powerful and flexible platform for making figures, tables, and reproducible reports. However, R can be intimidating for first time users, and there are so many resources online that it can be difficult to sort through without guidance.
- To fill that need, this course is intended for learners who have little or no experience with R but who are looking for an introduction to this tool. By the end of this course, students will be able to import data into R, manipulate that data using tools from the popular tidyverse package, and make simple reports using R Markdown. The course is designed for students with good basic computing skills, but limited if any experience with programming.
Gettingstarted with Data Visualization in R at Coursera Curriculum
Gettingstarted with Data Management and Visualization with R
Introduction to the Course
Introduction to R and Software Installation
Basic R, Part 1
Basic R Part 2
Functions in R
Dataframes
Basics of Importing Data into R
Base R Visualizations
How to Watch the Videos
The RStudio Cheat Sheet
Base R Cheat Sheet
R for Data Science, Chapter 4
A Note on File Paths
CCES Data
Cookbook for R: Basic Plots
Install R and Setup Quiz
Base R and Functions Quiz
Dataframes and Importing Data in R
Base R Visualization Quiz
Using the Tidyverse packages
Introduction to the tidyverse
Data import and structure in the tidyverse
Filtering, selecting, recoding, renaming, and piping
Recoding, Renaming, and Calculating Columns
Grouping and summarizing data
R for Data Science, Introduction and Part II: Wrangle
Data Import Cheat Sheet
tibble, readr, and tidyr Documentation
R for Data Science, Chapter 5
Data Wrangling Cheat Sheet
Gettingstarted with dplyr
Learning to Read R Documentation
Tidyverse Introduction Quiz
Manipulating Variables and Creating Summaries Quiz
Using R Markdown to Make Reports
Creating reports with R Markdown
R Markdown syntax and tables
qplots and closing thoughts
Note on Previewing Figures in R Markdown
R for Data Science, Chapter 27
R Markdown Cheat Sheet
R Markdown Reference Guide
R Markdown: The Definitive Guide
qplot() Documentation
R Markdown Intro Quiz
R Markdown Syntax Quiz
Incorporating Tables and Figures Quiz
Gettingstarted with Data Visualization in R at Coursera Admission Process
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