Data Analysis in R with RStudio & Tidyverse (Coursera)

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.
Course 3 of 4 in the Data Science and Analysis Tools - from Jupyter to R Markdown Specialization.

What You Will Learn

• Describe a numerical data set using statistical functions in R
• Import and manipulate data sets using Tidyverse
• Determine if populations are different using statistical tests
• Use statistical tests to describe or explain the relationship between data sets

Syllabus

WEEK 1
Describing a Numerical Data Set
Create and store data in variables as well as apply functions on them.

WEEK 2
Importing and Describing Mixed Data Sets
Import, extract, and use built-in functions on a data set(s).

WEEK 3
Using Statistical Tests to Compare Populations
Use statistical tests to compare data between different populations or groups or among the same.

WEEK 4
Using Statistical Tests to Describe Relationships
Use statistical tests to describe if a relationship exists between data sets or not.

WEEK 5
R Data Analysis Lab
Import, extract, and perform calculations on a data set.