Come as you are: Transitioning from Science to Data Science
summary
Clear, concrete checklist: which skills map to which role, which tools to learn and which you can fake on the job, and how to demonstrate them. Includes specifics like Python plus a public GitHub project with a strong README, cloud basics for data engineering vs ML tooling for modelling, hard numbers such as “~85% of roles are hidden”, and hiring anecdotes: a referral hire made on the spot without an interview.
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chapters (13)
- 0:00Introduction
- 2:46Postdoc
- 6:19Academic career path
- 7:08Where to start
- 8:41What do you want
- 11:03Data roles
- 12:51CV
- 13:15Technical skills
- 14:08What to learn
- 15:15Career in tech
- 15:51Join the community
- 21:01Thank you
- 21:33Questions
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