Matplotlib Full Course for Beginners to Advanced | Python Data Visualization Tutorial
Learn Matplotlib from beginner to advanced in this complete Python data visualization course 🚀
In this full Matplotlib tutorial, I have covered everything step by step — from Python prerequisites to creating professional charts and advanced visualizations using Matplotlib.
Matplotlib is one of the most widely used Python libraries for creating static, animated, and interactive visualizations
What you'll learn in this complete course:
✅ Python, NumPy & Pandas prerequisites
✅ Introduction to Data Visualization
✅ Matplotlib Setup & Installation
✅ Your First Plot
✅ Figure vs Axes vs Axis
✅ Line Charts
✅ Bar Charts
✅ Scatter Plots
✅ Histograms
✅ Pie Charts
✅ Subplots & Dashboard Layouts
✅ Plot Customization
✅ Styling & Themes
✅ Annotations & Text
✅ Advanced Plot Types
✅ Object Oriented Matplotlib
This course is perfect for:
Python Beginners
Data Analysts
Data Scientists
Machine Learning Engineers
Students preparing for interviews
Anyone who wants to learn Python data visualization
By the end of this video, you’ll be able to confidently create charts like:
📈 Line Charts
📊 Bar Charts
🔵 Scatter Plots
📉 Histograms
🥧 Pie Charts
📦 Box Plots
🎯 Advanced Visualizations
I’ve also added the GitHub repository link in the description box so you can download all the code files and practice along with the video.
👉 Practice with different datasets after watching this tutorial because that’s how you’ll build real confidence in Matplotlib.
If you found this video helpful:
✅ Like the video
✅ Subscribe to the channel
✅ Share it with your friends
GitHub Repository Link: https://bit.ly/4u0e66o
Timestamp
-------------------------------------------------------------------------
00:00:00 Intro
00:02:38 Prerequisites
00:07:57 Module 0: Data Visualization & Matplotlib
00:18:07 Module 1:Setup & First Plot
00:27:59 Module 2: Figure, Axes & Axis
01:14:36 Module 3: Chart Customization
01:45:11 Module 4: Line Plot
01:52:29 Module 5: Bar Chart
02:07:12 Module 6: Scatter Plot
02:36:37 Module 7: Histogram
02:55:42 Module 8: Pie Chart
03:05:17 Module 9: Annotation & Text
03:29:28 Module 10: Advanced Plot Types
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