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Connect with Ayodele
Check out her course on LinkedIn Learning: https://www.linkedin.com/learning/supervised-learning-essential-training/supervised-machine-learning-and-the-technology-boom
[00:01:17] We talk about the madness of the data science interview process
[00:02:29] Why are why are we making it so difficult for people to even get considered for an interview?
[00:05:41] Could data science benefit from a series of exams and accreditations, much like actuaries have to do?
[00:07:53] How does one prepare for these technical questions?
[00:11:35] How long should you spend preparing for an interview?
[00:12:58] What are considered medium/hard type of questions?
[00:16:02] Am I expected to have an answer for everything?
[00:20:46] How many projects should I have, and what should they be like?
[00:24:25] How should I be allocating my time in the job search process?
[00:25:17] Book recommendations
[00:28:30] Notebooks or scripts?
[00:30:53] How to explain your projects?
[00:35:07] Mark talks about some stuff he’s doing at work around creating and defining metrics and KPIs
[00:41:16] Tor jumps in with some sage advice
[00:44:46] Measuring the monetary value of your efforts
[00:50:10] How do you get managers buying into creating a data project?
[00:54:21] Explaining the value of your passion projects in an interview
[00:57:03] NLP question time