We are offering an in-person Data Carpentry Workshop in Python for Curtin University staff and students, held from 8:30 am - 4:30 pm on Friday, 19th April 2024.
This hands-on workshop will cover an introduction to data analysis and visualisation in Python.
The Carpentries mission is to build global capacity in essential data and computational skills for conducting efficient, open, and reproducible research. Participants will be encouraged to help one another and to apply what they have learned to their own research problems.
For more information on what we teach and why, please see our paper "Best Practices for Scientific Computing".
Registration is free of charge, but please make sure you cancel your booking through Eventbrite at least 48 hours prior to the event if you are unable to attend, so someone else can take your spot. Please be aware that people who register for CIDS events and then do not attend (without cancellation) will not be able to attend future CIDS events.
Please register with your Curtin University staff or student email address.
Course Content: Data analysis and visualisation in Python
Who: The course is aimed at postgraduate students and researchers who want to learn more about automation and reproducibility of their research. You don’t need to have any previous knowledge of the tools that will be presented at the workshop.
Where: Room 542, Building 105, Kent Street, Bentley. Get directions with Curtin Campus Maps.
For syllabus and schedule: For the schedule please see the event page: https://curtinids.github.io/2024-04-19-Curtin-Carpentries-Python/
Requirements: Participants must have a laptop with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges on. They should have a few specific software packages installed (listed on the workshop webpage). They are also required to abide by the Carpentries Code of Conduct.
Contact: Please email: CurtinIDS@curtin.edu.au for more information.
Please be aware that we will be taking pictures during the event for our archive and marketing purposes. If you do not wish to be photographed, please let us know at CurtinIDS@curtin.edu.au.
