Exploratory analysis of biological data: data carpentry

Overview

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Course overview

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.

Audience

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.

What past participants say about the course

“The best course to take first steps in data analysis! I learned a lot and wholeheartedly recommend it to everyone learning to program for science purposes.” – Magdalena Ziemianska, Maj Institute of Pharmacology Polish Academy of Sciences, Poland

“Excellent course to learn basics of R. A very friendly group of instructors who were easy to interact with and patient with all the queries we had. Also, the organisation team made it very easy for us: the pre- and post-course preparations and also during the stay.” – Balagopal Pai, University of Regensburg, Germany