Seaborn Crash Course
Data Science & AI › Data Visualization Bestseller

Seaborn Crash Course

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

By Nisha Reddy ★ 0.0 (0 ratings) Intermediate English 0 learners

What you'll learn

  • Understand the core concepts of Seaborn and how they fit together
  • Build hands-on projects using Seaborn that you can add to your portfolio
  • Apply Seaborn to solve real, practical problems in Data Science & AI
  • Follow industry best practices and avoid common Seaborn mistakes
  • Gain the confidence to use Seaborn at work and in interviews

Skills you'll gain

Seaborn Practical Projects Debugging Best Practices Problem Solving Data Visualization

About this course

Learn Seaborn the practical way. This Data Science & AI course focuses on doing: you'll work through real examples in Data Visualization, understand the why behind each technique, and finish with projects for your portfolio. Nisha Reddy keeps things clear and example-led, so you build genuine, transferable skill. By the end you'll be ready to use Seaborn confidently at work and in interviews.

Curriculum

Getting Started

  • Welcome and what you'll build video · 07:00 ▶ Free preview
  • Seaborn in 10 minutes video · 08:00 ▶ Free preview
  • Your first Seaborn walkthrough video · 09:00
  • Hands-on exercise video · 10:00

Core Concepts

  • 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

Hands-On Practice

  • Performance and optimisation video · 09:00
  • Testing your work video · 10:00
  • Welcome and what you'll build video · 11:00

Building Real Projects

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

Going Deeper

  • 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