• Heidelberg & Online (Hybrid)

Renato Alves, Lisanna Paladin, Christian Schudoma (HD-HuB) Fotis Psomopoulos (ELIXIR-GR),  

22/01/2024 - 26/01/2024

EMBL Heidelberg and Virtual (Hybrid)

The missing step between data collection and research progress is a lack of training for researchers in crucial skills for effectively managing and analysing large amounts of data. This hands on workshop teaches researchers the fundamental data skills they need to conduct their work, and provides high-quality, domain-specific training covering the full lifecycle of data-driven research. The domain-specific approach allows participants to tailor the data, content, and tools to reflect the specific data and analysis needs of different areas:
- Data organisation and cleaning
- Versioning with Git
- Introduction to R
- Data analysis and visualisation in R
- Data analysis with applications to genomics

 Learning goals:
You will learn...
- how to organise data and some practices for more effective data handling
- to effectively clean and format data and automatically track any changes
- to use R to handle, filter, and summarise tabular data
- to use the split-apply-combine concept for data analysis
- to visualise the results of these analyses in R using the ggplot2 library
- to apply all of the concepts in an exploratory analysis of a typical biological dataset

The course is aimed at graduate students and other researchers in the life sciences who would like to learn good practices in data management and analysis. The course is ideally suited to students without prior experience in computational research, but some familiarity with working with tabular data on a computer is welcome.

Data Carpentry, R


Renato Alves This email address is being protected from spambots. You need JavaScript enabled to view it.

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