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Activities & events
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Alexey Grigorev
– guest
We talked about: 00:00 DataTalks.Club intro 00:00 DataTalks.Club anniversary "Ask Me Anything" event with Alexey Grigorev 02:29 The founding of DataTalks .Club 03:52 Alexey's transition from Java work to DataTalks.Club 04:58 Growth and success of DataTalks.Club courses 12:04 Motivation behind creating a free-to-learn community 24:03 Staying updated in data science through pet projects 26 :37 Hosting a second podcast and maintaining programming skills 28:56 Skepticism about LLMs and their relevance 31:53 Transitioning to DataTalks.Club and personal reflections 33:32 Memorable moments and the first event's success 36:19 Community building during the pandemic 38:31 AI's impact on data analysts and future roles 42:24 Discussion on AI in healthcare 44:37 Age and reflections on personal milestones 47:54 Building communities and personal connections 49:34 Future goals for the community and courses 51:18 Community involvement and engagement strategies 53:46 Ideas for competitions and hackathons 54:20 Inviting guests to the podcast 55:29 Course updates and future workshops 56:27 Podcast preparation and research process 58:30 Career opportunities in data science and transitioning fields 1:01 :10 Book recommendations and personal reading experiences About the speaker: Alexey Grigorev is the founder of DataTalks.Club. Join our slack: https://datatalks.club/slack.html |
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DataTalks.Club Anniversary Interview - Alexey Grigorev, Johanna Bayer
2023-10-12 · 17:00
Johanna Bayer
– guest
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Alexey Grigorev
– guest
Free ML Engineering course: http://mlzoomcamp.com Join DataTalks.Club: https://datatalks.club/slack.html Our events: https://datatalks.club/events.html |
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DataTalks.Club Anniversary Interview
2023-09-19 · 10:30
DataTalks.Club behind the scenes - Johanna Bayer, Alexey Grigorev About this event Outline:
About the speaker: Alexey Grigorev is the founder of DataTalks.Club DataTalks.Club is the place to talk about data. Join our slack community |
DataTalks.Club Anniversary Interview
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Doing Software Engineering in Academia - Johanna Bayer
2023-01-13 · 18:00
Johanna Bayer
– guest
We talked about: Johanna’s background Open science course and reproducible papers Research software engineering Convincing a professor to work on software instead of papers The importance of reproducible analysis Why academia is behind on software engineering The problems with open science publishing in academia The importance of standard coding practices How Johanna got into research software engineering Effective ways of learning software engineering skills Providing data and analysis for your project Johanna’s initial experience with software engineering in a project Working with sensitive data and the nuances of publishing it How often Johanna does hackathons, open source, and freelancing Social media as a source of repos and Johanna’s favorite communities Contributing to Git repos Publishing in the open in academia vs industry Johanna’s book and resource recommendations Conclusion Links: The Society of Research Software Engineering, plus regional chapters: https://society-rse.org/ The RSE Association of Australia and New Zealand: https://rse-aunz.github.io/ Research Software Engineers (RSEs) The people behind research software: https://de-rse.org/en/index.html The software sustainability institute: https://www.software.ac.uk/ The Carpentries (beginner git and programming courses): https://carpentries.org/ The Turing Way Book of Reproducible Research: https://the-turing-way.netlify.app/welcome Free data engineering course: https://github.com/DataTalksClub/data-engineering-zoomcamp Join DataTalks.Club: https://datatalks.club/slack.html Our events: https://datatalks.club/events.html |
DataTalks.Club |