Archived Courses
Courses formerly offered by the Biological Data Science Institute.
This series of workshops will introduce data visualisation fundamentals, the Python packages Pandas, Matplotlib, and Seaborn.
The workshop is designed to introduce participants to the fundamentals of using R for basic computations.
The workshop aims to teach data wrangling with R using the Tidyverse paradigm. Tidyverse is a popular collection of open-source packages that share an underlying design philosophy, grammar and data structure.
The aim of the workshop is to equip participants with the skills to plot using ggplot2, which implements the concept of the “grammar of graphics”. This workshop is designed for those already familiar with R, particularly in data wrangling, but with limited to no experience using ggplot2 for plotting.
The goal of the workshop is to provide participants with the proficiency to author reproducible research documents using Quarto, an open-source system for scientific and technical publishing.
A lesson introducing the Snakemake workflow system for bioinformatics analysis. The Snakemake system enables the writing of reliable, scalable and reproducible scientific workflows as a series of chained rules.
Introducing a series of online courses to enable core skills in Biological Data Science
Students will fill gaps in their statistical toolbox, think more broadly about analysis strategies, and develop your teaching skills to give you the confidence to teach statistical thinking and R skills to honours and PhD biology, ecology and medical science. 6-8 workshops. EOI closing date is 15 March.
Introducing a series of online courses to enable core skills in Biological Data Science
Students will develop skills in statistical modelling, statistical inference and effective visual communication of their research conclusions.
Introducing a series of online courses to enable core skills in Biological Data Science.
Students will develop the skills and confidence with an Introduction to Linux: Getting start with high performance computing.
Introduction to Python: Students will develop the skills to begin to work with Python and perform Python-based large data analyses.
Students will develop the skills to begin to work with their research data using R/R Studio.
Introducing a series of online courses to enable core skills for Biological Data Science.