Identify and Create Data Science Materials for your Learners
Details
Speaker Bio - Daniel Chen
https://daniel.rbind.io/
Daniel is currently a Post-Doc at the UBC Masters of Data Science program.
Previously Daniel was a PhD student at Virginia Tech (VT) in Genetics, Bioinformatics, and Computational Biology (GBCB) working with Anne Brown and DataBridge studying data science education and pedagogy for medical practitioners.
Workshop details
Regardless of the field and domain you are in, we are all inundated with data. The more agency we can give individuals to work with data, the better equipped they will be to bring their own expertise to complex problems and work in multidisciplinary teams. There already exists a plethora of data science learning-materials to help learners work with data; however, many are not domain-focused and can be overwhelming to new learners. By integrating in domain specificity to data science education, we hypothesize that we can help learners learn and retain knowledge by keeping them more engaged and motivated.
Date and time: April 21, 2022 at 6:00pm
Webinar link: RSVP to view the link (password follows `?pwd=` in the link)
If you have trouble getting into the meeting, please message Jasmine
See you there!
Yuka, Jasmine and Lisa
IMPORTANT**
- Have your computer and a steady internet connection ready
- If this is your first R-Ladies event, please take a moment to review our R-Ladies Global code of conduct: https://github.com/rladies/.github/blob/master/CODE_OF_CONDUCT.md
- Who is allowed to attend the workshop?
Everyone is welcome to join us at our events and to be a part of our mission to empower gender minorities with the skills and knowledge to code in one of the top programming languages in data science, which is R.
To fulfill this mission we do ask participants to respect a focus on the encouragement and support for women and non-binary people during our events.
