This course will give insights into, and practical experience in, data visualisation for exploring complex and multi-dimensional biological data.Biological and life sciences data often consists of multiple dimensions: a combination of numerical values, ordered data, categories, and time-series. To make sense of this data, simple plots like scatterplots, barcharts, and boxplots are often not enough. Still, visualisation is critical in gaining deep insight into the data. This is why many custom visualisations originated in the biological field.In this course, we will dive into the topic of visualisation of complex biological data and how it can be used to gain insight into and get a "feel" for a dataset, so that targeted analyses can be defined. It will be delivered through a mixture of lectures and workshop sessions, and will provide hands-on experience in developing visualisations. The course will focus on working with omics (e.g. genomics, transcriptomics) data rather than e.g. imaging data.