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Python for Data Science
The Complete Matplotlib Bootcamp
A practical, project-based path to Matplotlib in Python for Data Science
By Shreya Ghosh
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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
Matplotlib is one of the most useful skills in Data Science & AI today, and this course makes it approachable and practical. Through guided projects in Python for Data Science, you'll build real understanding rather than memorising steps. Created by Shreya Ghosh, the course pairs clear explanations with hands-on practice so the ideas stick. You'll come away able to apply Matplotlib to your own work and on job-relevant, Hyrespot-matched roles.
Curriculum
Getting Started
- Welcome and what you'll build video · 14:00 ▶ Free preview
- Matplotlib in 10 minutes video · 15:00 ▶ Free preview
- Your first Matplotlib walkthrough video · 16:00
- Hands-on exercise video · 17:00
- Building the project — part 2 video · 06:00
Core Concepts
- Hands-on exercise video · 09:00
- Building the project — part 2 video · 10:00
- Best practices from industry video · 11:00
Hands-On Practice
- Best practices from industry video · 16:00
- A real-world case study video · 17:00
- Recap and where to go next video · 06:00
- Setting up your environment video · 07:00
Building Real Projects
- Welcome and what you'll build video · 11:00
- Matplotlib in 10 minutes video · 12:00
- Your first Matplotlib walkthrough video · 13:00
- Hands-on exercise video · 14:00
- Building the project — part 2 video · 15:00
Going Deeper
- Hands-on exercise video · 06:00
- Building the project — part 2 video · 07:00
- Best practices from industry video · 08:00
Best Practices
- 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