Data Analysis in R with RStudio & Tidyverse

Code and run your first R program in minutes without installing anything! This course is designed for learners with no prior coding experience, providing foundational knowledge of data analysis in R. The modules in this course cover descriptive statistics, importing and wrangling data, and using statistical tests to compare populations and describe relationships. This course presents examples in R using the industry-standard Integrated Development Environment (IDE) RStudio. To allow for a truly hands-on, self-paced learning experience, this course is video-free. Assignments contain short explanations with images and runnable code examples with suggested edits to explore code examples further, building a deeper understanding by doing. You’ll benefit from instant feedback from a variety of assessment items along the way, gently progressing from quick understanding checks (multiple choice, fill in the blank, and un-scrambling code blocks) to small, approachable coding exercises that take minutes instead of hours. Finally, a cumulative lab at the end of the course will provide you an opportunity to apply all learned concepts within a real-world context.

• Describing a Numerical Data Set
• Create and store data in variables as well as apply functions on them.
• Importing and Describing Mixed Data Sets
• Import, extract, and use built-in functions on a data set(s).
• Using Statistical Tests to Compare Populations
• Use statistical tests to compare data between different populations or groups or among the same.
• Using Statistical Tests to Describe Relationships
• Use statistical tests to describe if a relationship exists between data sets or not.
• R Data Analysis Lab
• Import, extract, and perform calculations on a data set.