# Overview

## Learning Goals

The material presented here is aimed at providing the reader with:

- A solid grasp of basic biostatistics
- Have an overview of available methods
- Be able to judge the applicability of individual methods
2 Basic proficiency in using
`R`

- Know base commands and how they function
- Be able to prepare biologically relevant data sets for further analysis
- Be able to apply basic statistical methods to biologically relevant data sets 3 Research Design
- Understand how to formulate testable hypotheses
- Know the importance of proper statistical approaches in research
- Being able to critically assess statistical methods in research publications

## Contents

The seminar series covers the following:

- Introduction
- An Introduction to Basic Statistics for Biologists
- Introduction to
`R`

- Basic statistical terminology
- A primer for Statistical Tests
- Descriptive Statistics
- Data Visualisation
- Inferential Statistics, Hypotheses and our Research Project

- Handling Data
- Data Handling and Data Mining

- Non-parametric tests
- Nominal Tests
- Correlation Tests
- Ordinal and Metric Tests for two-sample situations
- Ordinal and Metric Tests for more than two-sample situations

- Parametric tests
- Simple Parametric Tests

- Closing
- Summary, Manuscript Workflow and an Outlook on Advanced Statistics

## Disclaimer

You can also find all of this on GitHub.

If you find any typos in my material, are unhappy with some of what or how I am presenting or simply unclear about thing, do not hesitate to contact me.

All the best, Erik