Data Science & AI
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Data Visualization
Matplotlib Fundamentals
Everything you need to use Matplotlib with confidence
By Vikram Singh
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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
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 Data Visualization, you'll build real understanding rather than memorising steps. Created by Vikram Singh, 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 · 13:00 ▶ Free preview
- Matplotlib in 10 minutes video · 14:00 ▶ Free preview
- Your first Matplotlib walkthrough video · 15:00
- Hands-on exercise video · 16:00
Core Concepts
- 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
Hands-On Practice
- Performance and optimisation video · 15:00
- Testing your work video · 16:00
- Welcome and what you'll build video · 17:00
Building Real Projects
- Welcome and what you'll build video · 10:00
- Matplotlib in 10 minutes video · 11:00
- Your first Matplotlib walkthrough video · 12:00
- Hands-on exercise video · 13:00
Going Deeper
- 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