Basic statistics with R

The goal of this workshop is to teach the statistical methods necessary to analyse biological data. The course details how to apply them using R. You will learn about descriptive statistics, how to distinguish patterns from random fluctuations, and how to use linear regression to predict and understand relationships in biological data.

The workshop will take place May 27-29, 2024 online.

Agenda:
Mon, May 27, 10am-4pm: Introduction to R and descriptive statistic

Tue, May 28, 9am-4pm: Hypothesis Testing and Non-Parametric Tests: learning to differentiate patterns from random variations

Wed, May 29, 9am-1pm: Linear Regression: simple and multiple linear regression techniques

Prerequisites: 

• Basic understanding of R: familiarity with basic data types and the ability to apply functions within the language. Participants should feel comfortable with the basics of programming in R and be ready to delve into more advanced machine learning techniques tailored to the biological science.
• Basic understanding of statistics: Familiarity with basic statistical concepts such as variance, expected value, histograms and probability distributions 

Participation in the "Introduction to R" course earlier in May (6th-8th) would be the perfect foundation for this course.

Questions? Email

Application deadline: May 13, 2024

More information and registration here