Loading...

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
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

Loading...
To Register Click on "Add to Cart"
Section Title
Statistics for Biomedical Researchers
Type
Online Asynchronous
Dates
Oct 23, 2024 to Dec 10, 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)
Instructor(s)
Required fields are indicated by .