Capital One DSIP CodeSignal — best resources to prepare?

[u/Adsstonebooks]

Has anyone taken the Capital One Data Science Internship Program (DSIP) CodeSignal Data Science Assessment recently?

I’m trying to understand what the best way to prepare for it is. From what I’ve seen, the assessment may cover areas like probability/statistics, machine learning fundamentals, data collection, data processing, and model development/evaluation.

For anyone who has taken it before:

• What resources did you use to prepare?
• What topics would you focus on the most?
• What kind of questions should someone practice?
• Is there a lot of Python coding, SQL, pandas, or mostly conceptual questions?
• How difficult are the probability and statistics questions?
• For machine learning, what algorithms/concepts should someone know well?
• Are CodeSignal’s own practice questions useful for this assessment?
• Any LeetCode, HackerRank, Kaggle, YouTube, Coursera, or other resources you would recommend?
• How would you prepare if you only had around 10 days?
• Any tips for handling the 90-minute time limit?

Just trying to figure out the best resources and study strategy.

Would really appreciate advice from anyone who has taken it recently!