Data Visualization with Matplotlib – Full Crash Course | TA-led Session

Master Matplotlib for Python data visualization. This video introduces both the Object-Oriented and Pyplot (procedural) approaches to build line plots, bar charts, histograms, and scatter plots. Learn how to convert raw data into clear, professional visuals for analytics and AI projects.

Greetings, everyone! I’m Dr. Abolghasem Sadeghi-Niaraki, Associate Professor at the Department of Computer Science and Engineering at Sejong University. I’m delighted to welcome you to this focused session on one of the most powerful and widely used Python libraries for data visualization: Matplotlib."
"In the world of data science and artificial intelligence, being able to visualize your data effectively is just as important as processing it. This is where Matplotlib truly shines. It allows you to turn raw data into compelling visual stories—through line plots, bar charts, scatter plots, histograms, and much more."
"In today’s crash course, we’ll cover the fundamentals of Matplotlib — including both the pyplot interface and object-oriented approach. You’ll learn how to customize your plots, style your visuals, and integrate charts into your analytics workflows seamlessly."
"Whether you’re analyzing trends, presenting research, or building interactive dashboards, this tutorial will help you master the visualization layer of Python-based data science."
"So, open up your coding environment — Google Colab, Jupyter Notebook, or any IDE you prefer — and let’s begin creating powerful, professional data visuals together using Matplotlib."
📌 About These Videos (TA-Labeled Lectures)
All content labeled with "TA" (Teaching Assistant) is based on carefully prepared materials, fully scripted and supervised by Professor Abolghasem Sadeghi-Niaraki. While these sessions may be delivered by members of our research team or teaching assistants due to the professor’s academic schedule, all topics, scripts, and quality standards are strictly guided by him.
In many cases, parallel videos personally taught by Professor Sadeghi-Niaraki are also available on the same topics. Regardless of the presenter, the educational content, intellectual property, and video rights belong to Professor Sadeghi-Niaraki and the Trueverse channel.
Any unauthorized use, reproduction, or distribution of this content is strictly prohibited.

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[Mahmudov-wmfz]

I love how you clearly explain both the Pyplot and object‑oriented approaches while building real visualizations step by step—from basic plots to customizing styles, axes, and legends. Your practical demos make it easy to see how to create polished, publication-worthy charts. Thanks for the deep dive—it’s a go-to resource for anyone leveling up their Python data visualization skills! 👏 Mahmudov Abdumumin

[SohanurRahman-jd]

To be honest, after watching this video i feel like matplotlib is quite difficult to use, , i think seaborn is much more user friendly and easy to use.as i can visualize with less code in seaborn.also the customization like colors, themes, dataframe can be done in seaborn easily within short however my query is if i want be good at visualization which one should i master? seaborn or matplotlib? and why.?additionally, what kind of things should i focus more on?(Sohanur Rahman)