We have some availability for Introduction to R 7 & 14 February. This online course is an introduction to R designed for participants with no programming experience. We will start from scratch by introducing how to start programming in R and progress our way and learn how to read and write to files, manipulate data and visualise it by creating different plots - all the fundamental tasks you need to get you started analysing your data.
Book here
👇
https://www.training.cam.ac.uk/bioinformatics/event/5342759

We have some availability for Introduction to R 9 & 10 January. This online course is an introduction to R designed for participants with no programming experience. We will start from scratch by introducing how to start programming in R and progress our way and learn how to read and write to files, manipulate data and visualise it by creating different plots - all the fundamental tasks you need to get you started analysing your data.
Book here
👇
https://www.training.cam.ac.uk/bioinformatics/event/5542218

We are offering a brand new in-person course on 13 February 2025: Prompting for biologists: using AI chatbots for effective data analysis. We will provide background on the history of AI chatbots as well as an understanding of how they work through hands-on use cases of how to prompt like a bioinformatician/software engineer as well as providing strategies and tactics of prompting to unleash the full potential of AI chatbots in biological data analysis.
Book here 👇
https://www.training.cam.ac.uk/bioinformatics/event/5514290

We have some availability for Introduction to Python for Biologists 16 & 23 September. This online course provides a practical introduction to the writing of Python programs for the complete novice. Participants are lead through the core concepts of Python including Python syntax, data structures and reading/writing files. Book here 👇
https://www.training.cam.ac.uk/bioinformatics/event/5295083

Booking is now open for 'Core Statistics using R' on 25-27 September. This award winning online course is intended to provide a strong foundation in practical statistics and data analysis using the R software environment. In this course, we explore classical statistical analysis techniques starting with simple hypothesis testing and building up to linear models and power analyses. Book here 👇 https://training.cam.ac.uk/bioinformatics/event/5296463

We have some availability for Introduction to Python for Biologists 16 & 23 September. This online course provides a practical introduction to the writing of Python programs for the complete novice. Participants are lead through the core concepts of Python including Python syntax, data structures and reading/writing files. Book here 👇
https://training.cam.ac.uk/bioinformatics/event/5295083

Booking is now open for 'Software Reproducibility using Containers' on 17 July. This brand new in-person course explores the myriad challenges in producing code that works on other researchers’ computers and not just yours. We tour various possible software solutions and evaluate their suitability. We examine the potential solution that is Software Containers (focusing on Docker).
Book here 👇
https://training.cam.ac.uk/bioinformatics/event/5303605

We have some availability for Working with Bacterial Genomes: 22 to 26 July. This in-person course provides essential skills and knowledge in bacterial genomics analysis, primarily using Illumina-sequenced samples. You'll gain an understanding of how to select the most appropriate analysis workflow, tailored to the genome diversity of a given bacterial species, allowing you to become equipped to conduct bacterial genomics analyses on a range of species. Book here 👇
https://training.cam.ac.uk/bioinformatics/event/5161250

We have a brand new course in our programme: Quality Control in Sequencing Experiments. This course covers the potential pitfalls of short-read sequencing studies and provides options for visualisation and QC for early detection and diagnosis of issues. The course also covers how QC metrics vary across different library types and thus distinguish between expected and unexpected QC results.
Book here 👇
https://www.training.cam.ac.uk/bioinformatics/event/5147144

Brand new course: Intermediate Supervised Machine Learning. The vast majority of data produced fits the criteria of labelled data; the ML task of discriminating classes (for categorical outputs) or predicting future values (continuous outputs) will be discussed in detail, focusing both on classical methods and on the importance and discriminative power of features.
This course is not an introductory course and has prerequisites. Book here 👇
https://training.cam.ac.uk/bioinformatics/event/5145904