• Event
  • Scientific training

Data Carpentry Virtual Workshop 2022

Data Carpentry workshops are for any researcher who has data they want to analyze, with no prior computational experience required.

Start date:

28 February 2022

End date:

03 March 2022

Time:

10h00 - 15h00

Venue:

Online (via Zoom)

Registration deadline:

30 January 2022

Cost:

Free

About the event.

This hands-on workshop teaches fundamental data skills needed for anyone that deals with data and datasets. You will learn basic concepts, skills, and tools for working more effectively with data. The aim is to get researchers doing more in less time, and with less pain!

We will cover:

  • data organisation in spreadsheets
  • data cleaning
  • SQL (Structured Query Language)
  • the command line
  • R for data analysis
  • visualisation using biological examples

By the end of the workshop, learners should be able to more effectively manage and analyse data and apply the tools and approaches directly to their ongoing research.

This four-day workshop will be delivered virtually, via Zoom, with input from 10:00-15:00 GMT, including breaks (see programme and further information tabs for more details).

Who is this event for?

Researchers in the life science and computational science disciplines. We particularly encourage PhD students and postdoctoral scientists to attend, but the course is open to everyone, at any stage of their career.

The course is aimed at complete beginners; trainees are expected to have no prior knowledge of the tools or computational experience before attending. However, we will cover a lot of material and the training is quite fast paced, so be prepared to fully immerse yourself in the world of data management and analysis!

How to register

Registration is currently reserved for certain groups. If you are interested in attending, please email training@earlham.ac.uk with a short expression of interest, explaining why you would like to attend the course. If places are available you will be provided with a password to complete the form. Please note that we expect this training to be highly popular, and for places to fill up before the registration deadline, so if you are interested please do express your interest as soon as possible.

This training forms part of our BBSRC National Capability in Advanced Training

Programme.

Day 1 - 28 February 2022

Time

Topic

10:00 - 10:30

Welcome and Introductions

10:30 - 12:00

Data organisation in spreadsheets

12:00 - 13:00

Break

13:00 - 15:00

Data cleaning with OpenRefine

Day 2 - 01 March 2022

Time

Topic

10:00 - 10:15

Recap and Catchup from previous day

10:15 - 12:00

Data analysis and visualisation in R

12:00 - 13:00

Break

13:00 - 15:00

Data analysis and visualisation in R [Continued]

Day 3 - 02 March 2022

Time

Topic

10:00 - 10:15

Recap and Catch Up from previous day

10:15 - 12:00

Data analysis and visualisation in R [Continued]

12:00 - 13:00

Break

13:00 - 15:00

Data analysis and visualisation in R [Continued]

Day 4 - 03 March 2022

Time

Topic

10:00 - 10:15

Recap and Catch Up from previous day

10:15 - 12:00

Data management with SQL

12:00 - 13:00

Break

13:00 - 14:30

Data management with SQL (Continued)

14:30 - 15:00

Wrap Up, Final Questions and Feedback

Further information.

  • You will need your own laptop/computer to participate, and an internet connection. 
  • If possible, we recommend connecting by ethernet cable to your router for a more stable connection. 
  • We strongly suggest that you have a second screen or at least one large screen. You may not get the best experience if you can only participate on a small laptop screen. 
  • You will need to download software and data in advance.
  • There will be a pre-course meet on Monday 21 February 2022 at 10:00 to check software and data installation, which we expect all attendees to attend. 
  • Sessions will be recorded and shared with participants as soon as possible afterwards. 
  • Resources used during the training can be accessed here: https://datacarpentry.org/lessons/ 

Please carefully review our standard online event booking terms and conditions prior to registering for this event. Completing an online registration and associated payment process will mean that you are bound by these terms and conditions. Any supplemental terms or changes to these conditions on a per event basis will be included on this page. If you have any queries regarding our events or in relation to your booking, please contact us at training@earlham.ac.uk. 

  • Register today.

Registration deadline: 30 Jan 2022 - 23:45

Participation: First come, first served