Master Matplotlib in 2026
Data Science & AI › Data Visualization

Master Matplotlib in 2026

Master Matplotlib with hands-on projects and real-world examples

By Abhishek Roy ★ 0.0 (0 ratings) 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

This course is a hands-on, project-driven introduction to Matplotlib, part of our Data Science & AI track. Designed for learners in India and beyond, every concept is taught with practical examples and exercises you can add to your portfolio. Taught by Abhishek Roy, it starts from the fundamentals and builds toward real-world, job-ready skills in Data Visualization. By the end you'll have the confidence to apply Matplotlib at work, in interviews, and on Hyrespot-matched roles.

Curriculum

Getting Started

  • Welcome and what you'll build video · 16:00 ▶ Free preview
  • Matplotlib in 10 minutes video · 17:00 ▶ Free preview
  • Your first Matplotlib walkthrough video · 06:00
  • Hands-on exercise video · 07:00

Core Concepts

  • Common patterns in practice video · 11:00
  • Building the project — part 1 video · 12:00
  • Debugging and troubleshooting video · 13:00
  • Performance and optimisation video · 14:00
  • Testing your work video · 15:00

Hands-On Practice

  • Performance and optimisation video · 06:00
  • Testing your work video · 07:00
  • Welcome and what you'll build video · 08:00

Building Real Projects

  • Welcome and what you'll build video · 13:00
  • Matplotlib in 10 minutes video · 14:00
  • Your first Matplotlib walkthrough video · 15:00
  • Hands-on exercise video · 16:00

Going Deeper

  • Common patterns in practice video · 08:00
  • Building the project — part 1 video · 09:00
  • Debugging and troubleshooting video · 10:00
  • Performance and optimisation video · 11:00
  • Testing your work video · 12:00