I have tried twice to put together a hands-on full-day "security for data scientists" tutorial but am finding it just as hard as a "systems programming/devops for data scientists" tutorial: the topics are so scattered and disjoint, and require so much random background knowledge, that the material doesn't hang together and will probably just frustrate participants. I would be very grateful for pointers to open-access lessons on either topic that actually work - thanks in advance.
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Greg Wilson (gvwilson@mastodon.social)'s status on Saturday, 10-Aug-2024 02:12:12 JST Greg Wilson -
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Eaton (eaton@phire.place)'s status on Saturday, 10-Aug-2024 02:12:11 JST Eaton @rzeta0 @gvwilson This. “Explain the big picture of the domain/work/etc, then explain how the area of focus for the training impacts it, then putline what aspects we’ll be covering” has served me well for a lot of bootstrapping-knowledge style classes and curriculum
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Tariq (rzeta0@mastodon.social)'s status on Saturday, 10-Aug-2024 02:12:12 JST Tariq In my experience starting from the conceptual "big picture" of risk (assessment, appetite, management, etc) ...
Then within that painting the picture of common tasks, governance, controls, validation, etc .. provides a useful "map" that is applicable to any scenario.
Then finally "instancing" these with examples specific to data science, engineering and app dev illustrates the concepts.
The bottom up approach too often seen in the dev community isn't helpful in my experience.
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Greg Wilson (gvwilson@mastodon.social)'s status on Saturday, 10-Aug-2024 02:22:00 JST Greg Wilson @eaton thanks - do you have any pointers to open-access lessons that demonstrate this approach for security and/or devops, preferably designed for one-day workshops?
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Eaton (eaton@phire.place)'s status on Saturday, 10-Aug-2024 02:22:00 JST Eaton @gvwilson unfortunately, no; the space I’ve worked in is almost entirely focused on other kinds of tangly overlaps; didn’t mean to clutter up the replies to your (excellent) question!
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