[Turing Workshop for Data Science Educators](https://conferences.leeds.ac.uk/dseducators)
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# Theme 1: Train the trainer
###### tags: `Turing Workshop for Data Science Educators`,`Data Science Education`
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- **time and day**: Wednesday 21th September, 9:00-17:00 (GMT+1)
- **Meeting host**: Luisa Cutillo
- **Meeting facilitators**: Ayesha Dunk (online), Paul Baxter (in person)
- **Back to the Main Call**: [MS teams meeting joining link](https://teams.microsoft.com/l/meetup-join/19%3ameeting_YjFhMzczZDUtZjI0Yi00NmMzLThhNjItNWNhNGE1OTViY2U5%40thread.v2/0?context=%7b%22Tid%22%3a%22bdeaeda8-c81d-45ce-863e-5232a535b7cb%22%2c%22Oid%22%3a%225059c8a0-43a5-44f0-b487-8ec42fe4bea5%22%7d )
- **Back to the Main hackmd**: [link](https://hackmd.io/@Cutillo/SkFEn9Ees)
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### Collaborative exercises
*up to 1h in breakout groups, in person or online*
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#### Theme 1
:::info
**Train the trainer - collaborative excercise**: discussion to identify a set of skills and interventions that could form the basis of a Continuing Professional Development (CPD) program for data science educators. How can we keep DS trainers continuously up-to-date?
**Remote Participant:** [**Clik here to Join Theme1 call**](https://teams.microsoft.com/l/meetup-join/19%3ameeting_ODM3NzYxNmMtOTZmMi00YThhLWEwMDctNGM3NjRkZTQzODZl%40thread.v2/0?context=%7b%22Tid%22%3a%22bdeaeda8-c81d-45ce-863e-5232a535b7cb%22%2c%22Oid%22%3a%225059c8a0-43a5-44f0-b487-8ec42fe4bea5%22%7d)
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#### Group Discussion (online)
*Please use this space to take notes from your breakout group discussion.*
- What challenges have you faced as a Data Science Educator? If you are a student, what challenges have you faced as a learner of Data Science?
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- What strategies have you tried to overcome such challenges?
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- What suggestions could you give your employer to help you stay upskilled?
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- How could the community of DS educators help you to stay upskilled?
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- Are there any useful tools and resources you could share with other DS educators?
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- What have you valued most in this workshop?
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#### Group Discussion (in person)
*Please use this space to take notes from your breakout group discussion.*
- What challenges have you faced as a Data Science Educator?
- Getting the level right for learners that have very different needs / levels
- Having sufficient time to address everyones needs with large cohort
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- What strategies have you tried to overcome such challenges?
- Theme courses carefully - don't offer very generic courses
- Have clear prerequisites and clear minimum and maximum numbers
- Provide lots of practical support with demonstators / workshops by PhD students
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- What suggestions could you give your employer to help you stay upskilled?
- Give time for CPD to attend courses
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- How could the community of DS educators help you to stay upskilled?
- Offer Q&A online chat e.g. teams so questions can be asked for collaboration
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- Are there any useful tools and resources you could share with other DS educators?
- Pre-existing examples online e.g. in Python
- Textbooks with specific examples relevant to discipline
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- What have you valued most in this workshop?
- Linking up to others in field who have resources to share (e.g. ATI resources and free courses)
- Soft skills (e.g. presentation and writing) for data scientists rather than generic soft skills courses.
- Learning about industry perspective and what they want in graduate skills