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Computing skills for reproducible research: data carpentry – Course and Conference Office

EMBL Course

Computing skills for reproducible research: data carpentry

Overview

Please see EMBL’s COVID-19 safety policy for testing and other requirements to attend this on-site course.

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 project and data organisation and computational data analysis with R. 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.

Modules/resources

  • Data organisation and cleaning
  • Versioning with Git
  • Introduction to R
  • Data analysis and visualisation in R
  • Data analysis with applications to genomics

Learning outcomes

  • 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

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 programming for scientific purposes.” – Magdalena Ziemianska, Maj Institute of Pharmacology Polish Academy of Sciences, Poland

“I have to thank all the instructors and organisers that made this course a success. Very intuitive and everyone was very helpful, leaving no doubts unanswered. I highly recommend this course to anyone who wants to start learning R.” – Soraia Vieira, University of Évora, Portugal

Date: 24 - 27 Jan 2023

Location: EMBL Heidelberg

Venue: EMBL Advanced Training Centre


Deadline(s):

Application: Closed


Organisers:

  • Renato Alves
    EMBL Heidelberg, Germany

EMBL Courses and Conferences are kindly supported by our Corporate Partnership Programme

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Associate partners

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