Centre for Research Informatics Training
Events
Training events organised and delivered by the Cambridge Centre for Research Informatics Training.
Data analysis in R
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Currently full
Practical introduction to data analysis and visualisation in R, covering core skills for working with scientific datasets through exploratory analysis, data manipulation and reproducible workflows. Participants learn to inspect, transform and analyse data, and create clear visualisations using widely used open-source tools and packages.
Core statistics
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Classical statistical analysis techniques including hypothesis testing, linear models and power analyses, with an emphasis on practical implementation and robust analysis skills.
Fundamentals of Python Programming
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Beginner-friendly introduction to programming with Python, covering core programming concepts and practical problem-solving skills through hands-on exercises. Participants learn how to write simple programs, work with data and control structures, and build a foundation for further computational and research applications.
Introduction to the Unix command line
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Practical introduction to the Unix command line for researchers working with computational tools and large datasets. Participants learn core command-line skills for navigating filesystems, manipulating text-based data and building efficient workflows for computational research and data analysis.
Single-cell RNA-seq analysis
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Practical introduction to the analysis of single-cell RNA sequencing data, covering preprocessing, quality control, dimensionality reduction, data integration, clustering, and differential analysis using R/Bioconductor.
Bulk RNA-seq analysis
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Practical introduction to bulk RNA sequencing data analysis, covering quality control, quantification of gene expression, exploratory analysis, differential expression, visualisation, and functional interpretation of results using R and Bioconductor.