ncibtep@nih.gov

Bioinformatics Training and Education Program

Introduction to R: Part 3 – Data Analysis

Introduction to R: Part 3 – Data Analysis

 When: Sep. 13th, 2024 1:00 pm - 2:00 pm

Learning Level: Any

To Know

Where:
Online Webinar
Organizer:
NIAID
Presented By:
Mina Peyton (NIAID), Yuyan Yi (NIAID)
This class has ended.

About this Class

This course provides an introduction to data analysis using R, focusing on conducting various statistical tests and generating commonly used statistical regression models. Participants will learn how to perform hypothesis testing, calculate descriptive statistics, and conduct inferential statistics using R.

The course covers topics such as t-tests, ANOVA, chi-square tests, and correlation analysis. Participants will also learn how to generate regression models, including linear regression, logistic regression, and multiple regression, to analyze relationships between variables. Additionally, the course emphasizes interpreting the output results using R functions. Participants will gain practical skills in understanding and communicating the findings from statistical analyses conducted in R. By the end of the course, participants will have a solid foundation in data analysis using R and be able to apply these skills to real-world datasets.