Overview

Ed-DaSH is a Data Science training programme for Health and Biosciences. The team has developed workshops using The Carpentries platform on the following topics. See workshops for dates and registration details. All workshops will be delivered remotely.

Training Curriculum

• Computational workflows
  • Unix, Conda, Nextflow/Snakemake (4 days)
• Open science, FAIR principles [Findable, Accessible, Interoperable and Reusable], and data management
  • FAIR in practice (4 half days)
  • FAIR for leaders (1 day)
• Statistics
  • Basic and intermediate statistical skills ^[1] (4 half days)
  • High dimensional statistics (4 half days)
  • Machine learning ^[1] (2 days)
    
    
    
    ¹ Developed by teams funded by the Software Sustainability Institute ↩

Funding

This work was supported by UK Research and Innovation [grant number MR/V039075/1].

Workshops

• 15 - 18 February 2022, FAIR in (biological) practice
• 22 - 25 November 2021, Data Science workflows with Nextflow
• 26 - 29 October 2021, High-dimensional statistics
• 19 - 22 October 2021, FAIR in (biological) practice
• 11 - 14 October 2021, Data Science workflows with Snakemake