A short MIT IAP course on technical interview preparation, covering how to approach algorithmic interview problems. Materials are published as free notes from MIT's CSAIL course pages.

Commenters recommend it as a short, practical set of notes on how to think through algorithmic interview questions, with one calling it highly recommended.

What commenters said (2)

1. Strongly recommendszellynhunter2010in “Thinking of applying for a job at Google. Any tips or feedback on my résumé?”

   Not quite related, but I highly recommend reading http://courses.csail.mit.edu/iap/interview/materials.php

2. Recommendszellyn2021in “Ask HN: How best to prepare for Python interviews starting in 3 months?”

   Some excellent suggestions here.

   For learning, exercism.io is amazing: they assign people as mentors to review your code, and I've had really good experiences while learning Rust, with feedback calibrated nicely to my level of expertise.

   For how to think about algorithmic interviews, I always recommend this short set of notes: http://courses.csail.mit.edu/iap/interview/materials.php

   For fun, try Advent of Code this year and see how far you get, and whether you like it. As @analog31 suggested, this might be a fun thing to do with his son.

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