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 applies toward the Bioinformatics Endeavor digital badge.

What FAES Learners are Saying

“instructor was very willing to help and kind when I needed help, made me feel like I could ask any question I needed” - FAES Learner

Textbook Information

There is no textbook for purchase required for this course.


There are no prerequisites for this course.

Additional Information

This course is for learners who are interested in performing statistical analyses for biological sciences. 

An individual laptop is required for this class. You will be required to install R and Rstudio (free software) on your local computer to complete assignments. Installation instructions will be provided in the course. 

Follow the link to review FAES Tuition Refund Policy.

Funding Justification Guide

Some labs and institutes may have specific funds set aside for trainees to continue their education and professional development. FAES has created a guide intended to help trainees request funds that may be available and, if they are available, request use of the training funds for continued professional development. More details

To Register Click on "Add to Cart"
Section Title
Introduction to Statistics
Online Asynchronous
Jun 12, 2024 to Jul 30, 2024
Total Cost (Includes $75 non-refundable technology fee per course when applicable)
Eligible Discounts Can Be Applied at Checkout (2 Credits) $775.00
Potential Discount(s)
Available for Academic Credit
2 Credit(s)
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