Suggestions for Learning

Hey,

I hope whoever is reading this is doing well!

I’m looking for some suggestions—recommendations would be even better. I want to truly master the process of Exploratory Data Analysis (EDA) as an AI/ML student.

Could you recommend any courses, resources, or practices that help build an intuitive understanding of EDA?

Also, I just want to say that this community is amazing—both in terms of warmth and knowledge.

Thank you!

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Have you seen this?

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Hey, @balaji.ambresh

I came across this and found it really helpful—thanks for sharing!

That said, I’m specifically focusing on mastering Exploratory Data Analysis (EDA). This seems more like a roadmap, whereas I’m looking for something more like a one-stop resource to deeply learn and practice EDA.

Appreciate your help—thanks again!

There is no course by deeplearning.ai on EDA.

Some of the focus areas offered by deeplearing.ai are ML, DL, MLOps, NLP, CV, LLMs, GANs, prompt engineering and agents.

Coursera offers a lot of data science and ML courses that include EDA. Look for notebooks / articles on kaggle as well. Afaik, there is no one-stop shop for mastering EDA.

Thanks for your suggestion @balaji.ambresh . I’ll definitely look into what you’ve mentioned.