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Course Description

Bundle Registration! Save a bundle and receive 30% off the individual course rate when you register for both STAT 101 and STAT 515!

Statistical analyses are a fundamental component of experimental design in many biomedical research fields. Particularly when working with large, messy data, proper understanding of statistics is essential to perform proper statistical analyses. This course will build on students' existing knowledge of statistics to help them expand their analysis toolkits and will cover topics including modeling, bootstrapping, simulations, imputation, and basic machine learning. Students will attend lectures to gain theoretical understanding of topics before applying concepts through practice problems and projects using the R programming language.

Learner Outcomes

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

  • Fit and interpret multiple regression models including interaction and non-linear terms
  • Fit and interpret logistic regression models
  • Evaluate model fit to perform model selection
  • Perform bootstrapping and simulation analyses to quantify statistical confidence
  • Fit basic machine learning models
  • Identify the strengths and weaknesses of different machine learning models.

Microcredential(s)

This course applies toward the Bioinformatics Endeavor digital badge.

What FAES Learners are Saying

"Lectures were clear, understandable, and reflected the assigned material." - FAES Learner
 

Textbook Information

There is no textbook for purchase required for this course.

Prerequisites

Basic proficiency in R and simple statistical analyses.

Refund
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Scholarship and Funding

Are you a self-funded student? FAES offers scholarship options. Click here for more information and to apply. 

Looking for resources to help you acquire funding for your continued education? Click here for our funding justification guide. 

Photo Release

By registering for this event, you agree to allow FAES to take photographs of you during the event and to use these photos for promotional purposes, including on our website, social media, and marketing materials, without further compensation. You understand that you have no right to review or approve the final use of these images.

 

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