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Introduction to the Tidyverse
4.9(1,158)390k studentsBEGINNEREnglish
Korshub's take
The Korshub Take
The Tidyverse ecosystem has revolutionized how data analysis is conducted in R. This essential beginner course introduces the seamless combination of dplyr for data wrangling and ggplot2 for data visualization, allowing you to quickly explore historical datasets and communicate data insights effectively.
Who It's For
Beginners with no prior R programming experience, aspiring data analysts, and researchers eager to learn modern R data analysis tools.
Key Takeaways
- Data Manipulation with dplyr: Filter rows, select columns, mutate new variables, and summarize grouped datasets effortlessly.
- Visualizations with ggplot2: Construct line plots, bar charts, scatter plots, and histograms using the Grammar of Graphics.
- Exploratory Data Analysis (EDA): Combine wrangling and plotting tools to answer complex data questions using historical country statistics.
About this course
This is an introduction to the programming language R, focused on a powerful set of tools known as the Tidyverse. You'll learn the intertwined processes of data manipulation and visualization using the tools dplyr and ggplot2. You'll learn to manipulate data by filtering, sorting, and summarizing a real dataset of historical country data in order to answer exploratory questions. You'll then learn to turn this processed data into informative line plots, bar plots, histograms, and more with the ggplot2 package. You’ll get a taste of the value of exploratory data analysis and the power of Tidyverse tools. This is a suitable introduction for those who have no previous experience in R and are interested in performing data analysis.
The videos contain live transcripts you can reveal by clicking "Show transcript" at the bottom left of the videos.
The course glossary can be found on the right in the resources section.
To obtain CPE credits you need to complete the course and reach a score of 70% on the qualified assessment. You can navigate to the assessment by clicking on the CPE credits callout on the right.
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