Data Science & AI
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Data Visualization
Master Plotly in 2026
Master Plotly with hands-on projects and real-world examples
By Ananya Gupta
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Advanced
English
0 learners
What you'll learn
- Understand the core concepts of Plotly and how they fit together
- Build hands-on projects using Plotly that you can add to your portfolio
- Apply Plotly to solve real, practical problems in Data Science & AI
- Follow industry best practices and avoid common Plotly mistakes
- Gain the confidence to use Plotly at work and in interviews
Skills you'll gain
Plotly
Practical Projects
Debugging
Best Practices
Problem Solving
Data Visualization
About this course
Want to get genuinely good at Plotly? 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. Ananya Gupta guides you step by step through Data Visualization, focusing on the skills employers actually look for. Finish ready to put Plotly on your resume and use it with confidence.
Curriculum
Getting Started
- Welcome and what you'll build video · 14:00 ▶ Free preview
- Plotly in 10 minutes video · 15:00 ▶ Free preview
- Your first Plotly 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
- Plotly in 10 minutes video · 12:00
- Your first Plotly 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