BioStat 101 - An Introduction to Biostatistics

Learning Goals

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

  1. 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


The seminar series covers the following:

  1. Introduction
    • An Introduction to Basic Statistics for Biologists
    • Introduction to R
  2. Basic statistical terminology
    • A primer for Statistical Tests
    • Descriptive Statistics
    • Data Visualisation
    • Inferential Statistics, Hypotheses and our Research Project
  3. Handling Data
    • Data Handling and Data Mining
  4. 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
  5. Parametric tests
    • Simple Parametric Tests
  6. Closing
    • Summary, Manuscript Workflow and an Outlook on Advanced Statistics

Feedback & Improvements

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