Checkout the episode recap here: https://www.comet.ml/site/comet-office-hours-recap-for-may-23rd-and-may-30th/
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Watch the episode on YouTube here: https://www.youtube.com/playlist?list=PLx-pFwty92wJoWzoO7WlfaM7iYB8qjm
Checkout the interview I had with the Super Data Science Podcast: https://www.superdatascience.com/podcast/landing-your-data-science-dream-job
[00:01:08] How to deal with the confusion you face while learning new things
[00:04:09] Dealing with failed data science projects
[00:06:58] How do you go about making sure you collect the right kind of data in the first place?
[00:09:29] Start with three questions
[00:11:59] The balance between learning technical stuff and learning how to solve actual problems
[00:15:28] How are you overcoming learning struggles?
[00:18:07] Learning vs doing
[00:21:58] When the data doesn’t support much predictive power
[00:28:04] Everyone will become a data scientist, eventually
[00:30:38] The importance of domain knowledge
[00:35:03] Define failure up front
[00:37:56] Is low code the end of data science as we know it?
[00:42:19] Reproducibility
[00:48:25] Adam with some controversy
[01:02:36] How do you do personal inventory on your skills?