Basic Statistics with R - NFDI4Microbiota and DZIF Training Course
The goal of the course 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.
Agenda:
Mon, April 28, 10am–3pm
Introduction to R and descriptive statistics
Tues, April 29, 10am–3pm
Hypothesis Testing and Non-Parametric Tests: Learning to differentiate patterns from random variations
Wed, April 30, 10am–3pm
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 statistical techniques tailored to the biological sciences.
Participants should have some basic knowledge of the R language (e.g. participated in the "Introduction to R" course of May 2024 or similar).
Basic understanding of statistics: Familiarity with basic statistical concepts such as variance, expected value, histograms and probability distributions.
Language: English
Keywords: R-course, statistics, linear regression
Tools: Zoom
Registration deadline: 13.04.2025
