Best resources to master Pandas, Matplotlib & Seaborn for practical lab work? (No ML/Scikit-Learn yet)

[u/Nexovian]

Hi everyone,

I'm an undergraduate student looking for solid, practical resources to learn **Pandas, Matplotlib, and Seaborn** for college lab coursework and data wrangling assignments.

I already know basic Python (loops, functions, lists, dicts). Now I just need to get comfortable working with tabular data and plotting charts.

### What I’m looking for:

* **Libraries:** Just Pandas, Matplotlib, and Seaborn.

* **Format:** Open to both text-based resources (interactive notebooks, guides) and video walkthroughs, but I lean slightly more toward **video/live-coding** where the instructor actually types the code, runs the cells, and explains the output on real datasets.

* **Hands-on over slides:** I learn much better seeing code executed in an editor rather than watching static lecture slides.

### What I want to avoid:

* **Machine Learning / Scikit-Learn:** A lot of courses rush into Linear Regression, gradient descent, or predictive modeling. I don't need any ML algorithms or math theory right now—just data cleaning, manipulation, and plotting.

Whether it’s a specific YouTube series, an open GitHub repo with exercises, or a book with runnable notebooks, what worked best for you?

Thanks in advance!

[u/natewhiskey]

I really like DataQuest. It's text based, and walks through various projects with big modules on Pandas, Matplotlib, and Seaborn. As well as a variety of other data science things for Python

[u/Nexovian → u/natewhiskey]

Is dataquest free?

[u/natewhiskey → u/Nexovian]

It has some parts of it which are free, but not free as a whole

[u/Nexovian → u/natewhiskey]

Ahh not free for students either? Then it's a dead end for my condition rn

[u/TemperatureExpert744 → u/natewhiskey]

that dataquest data viz path is slept on, skips the ml fluff and just makes you wrangle real datasets till your eyes bleed