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.
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.
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.