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Python for Data Science
Matplotlib for Beginners
Master Matplotlib with hands-on projects and real-world examples
By Nikhil Jain
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Advanced
English
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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
Python for Data Science
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. Nikhil Jain guides you step by step through Python for Data Science, 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 · 11:00 ▶ Free preview
- Matplotlib in 10 minutes video · 12:00 ▶ Free preview
- Your first Matplotlib walkthrough video · 13:00
- Hands-on exercise video · 14:00
- Building the project — part 2 video · 15:00
Core Concepts
- Hands-on exercise video · 06:00
- Building the project — part 2 video · 07:00
- Best practices from industry video · 08:00
Hands-On Practice
- Best practices from industry video · 13:00
- A real-world case study video · 14:00
- Recap and where to go next video · 15:00
- Setting up your environment video · 16:00
Building Real Projects
- Welcome and what you'll build video · 08:00
- Matplotlib in 10 minutes video · 09:00
- Your first Matplotlib walkthrough video · 10:00
- Hands-on exercise video · 11:00
- Building the project — part 2 video · 12:00
Going Deeper
- Hands-on exercise video · 15:00
- Building the project — part 2 video · 16:00
- Best practices from industry video · 17:00
Best Practices
- Best practices from industry video · 10:00
- A real-world case study video · 11:00
- Recap and where to go next video · 12:00
- Setting up your environment video · 13:00