Course Description

In this course, students will be introduced to basic statistical theory, real-world statistics applications, and statistical test implementations in R. Students will learn the theory behind common statistical tests and how to perform them before moving on to perform statistical analyses using a dataset of their choice. Through this process, students will learn how to select the correct test for a dataset, how to design experiments amenable to statistical analyses, and how to avoid common statistical analysis pitfalls.

Learner Outcomes

When you complete the course successfully, you will be able to:

  • Use and interpret results of basic statistical tests
  • Select the appropriate statistical test for a given data analytics problem
  • Design experimental procedures with statistics in mind
  • Use R to run basic statistical analyses


This course may apply toward the Bioinformatics Endeavor digital badge.


There are no prerequisites for this course.

Additional Information

This course will be graded on a Pass/Fail basis.

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Section Title
Introduction to Statistics
Online Asynchronous
Jun 14, 2023 to Aug 01, 2023
Total Cost (Includes $75 non-refundable technology fee per course)
Eligible Discounts Can Be Applied at Checkout (1 Credits) $425.00
Potential Discount(s)
Available for Academic Credit
1 Credit(s)
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