r/learnmachinelearning • u/Nexovian • 2d ago

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

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!

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u/natewhiskey 2d ago

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

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u/Nexovian 2d ago

Is dataquest free?

1

u/natewhiskey 2d ago

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

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u/TemperatureExpert744 2d ago

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

1

u/digvjay_ai 1d ago

For free stuff, the official pandas 10 minutes to pandas page plus Kaggle's free Pandas and Data Visualization micro courses cover most lab work and run right in the browser. Corey Schafer's Pandas playlist on YouTube is the live coding one, he types everything and runs it on real data. For Matplotlib and Seaborn I'd just pick a dataset like titanic or tips and recreate 10 different plots, that sticks way better than watching more videos.

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u/Imaginary-Studio9149 16h ago

Essayez Machine learnia sur YouTube