Data Science & AI
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Data Visualization
Modern Matplotlib: Real-World Skills
Learn Matplotlib by building real things, step by step
By Aravind Kumar
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Intermediate
English
0 learners
What you'll learn
- Understand the core concepts of Matplotlib and how they fit together
- Build hands-on projects using Matplotlib that you can add to your portfolio
- Apply Matplotlib to solve real, practical problems in Data Science & AI
- Follow industry best practices and avoid common Matplotlib mistakes
- Gain the confidence to use Matplotlib at work and in interviews
Skills you'll gain
Matplotlib
Practical Projects
Debugging
Best Practices
Problem Solving
Data Visualization
About this course
Want to get genuinely good at Matplotlib? This practical course in our Data Science & AI track takes you from the essentials to applied, real-world skills. You'll learn by building — not just watching — with downloadable resources and exercises throughout. Aravind Kumar guides you step by step through Data Visualization, focusing on the skills employers actually look for. Finish ready to put Matplotlib on your resume and use it with confidence.
Curriculum
Getting Started
- Welcome and what you'll build video · 10:00 ▶ Free preview
- Matplotlib in 10 minutes video · 11:00 ▶ Free preview
- Your first Matplotlib walkthrough video · 12:00
- Hands-on exercise video · 13:00
Core Concepts
- Common patterns in practice video · 17:00
- Building the project — part 1 video · 06:00
- Debugging and troubleshooting video · 07:00
- Performance and optimisation video · 08:00
- Testing your work video · 09:00
Hands-On Practice
- Performance and optimisation video · 12:00
- Testing your work video · 13:00
- Welcome and what you'll build video · 14:00
Building Real Projects
- Welcome and what you'll build video · 07:00
- Matplotlib in 10 minutes video · 08:00
- Your first Matplotlib walkthrough video · 09:00
- Hands-on exercise video · 10:00
Going Deeper
- Common patterns in practice video · 14:00
- Building the project — part 1 video · 15:00
- Debugging and troubleshooting video · 16:00
- Performance and optimisation video · 17:00
- Testing your work video · 06:00