Home कोर्स ब्राउज़ करें Data Science Data Visualization with Matplotlib and Plotly
Free course English सत्यापित प्रमाणपत्र Beginner #data science #data analysis #sql #python #data #visualization #matplotlib #plotly

Data Visualization with Matplotlib and Plotly

Learn how to turn raw data into clear charts that support better decisions. In this course, you will build practical skills with Matplotlib and Plotly, using real business examples to create static and interactive visualizations.

4.8 (5 ratings)
69 learners enrolled
428 views
30 lessons
~45 min total
Self-paced, lifetime access

यह कोर्स किस बारे में है?

This beginner-friendly course teaches working professionals how to turn raw data into clear, persuasive visual stories using Matplotlib and Plotly. You will start with the core principles of data visualization, then learn how to create, customize, and present charts in both static and interactive formats. The course is practical and hands-on, using real-world business examples such as sales trends, customer segments, and performance tracking. Each module begins with a short introduction, each lesson includes key terms and takeaways, and every lesson ends with 1-2 quick exercises you can complete in 5-15 minutes. By the end of the course, learners will be able to choose the right chart for the message, build polished visuals, and explain insights with confidence.

इस कोर्स के मुख्य तथ्य क्या हैं?

कीमत Free
प्रमाणपत्र सत्यापित प्रमाणपत्र
अवधि 45 min
पाठ 30
भाषा English
स्तर Beginner
परीक्षा Self-paced, lifetime access

Curriculum

6 modules · 30 lessons

1
Module 1: Data Visualization Foundations
5 lessons
  • Why Data Visualization Matters
  • Choosing the Right Chart for the Message
  • Understanding Data Types and Structures
  • Workflow for Building a Good Chart
  • Course Setup and First Python Visualization Mindset
2
Module 2: Getting Started with Matplotlib
5 lessons
  • Your First Matplotlib Plot
  • Figures, Axes, and the Anatomy of a Plot
  • Common Chart Types in Matplotlib
  • Adding Labels, Titles, and Legends
  • Saving, Sharing, and Reusing Matplotlib Plots
3
Module 3: Styling and Customizing Matplotlib
5 lessons
  • Working with Colors, Styles, and Themes
  • Formatting Text, Fonts, and Layout
  • Highlighting Key Data Points with Annotations
  • Handling Multiple Series and Comparing Groups
  • Building Professional Matplotlib Charts for Reports
4
Module 4: Plotly Basics and Interactive Charts
5 lessons
  • Getting Started with Plotly
  • Plotly Express for Fast Chart Creation
  • Understanding Interactive Features
  • Customizing Plotly Layout and Appearance
  • Exporting and Sharing Plotly Visuals
5
Module 5: Dashboards, Storytelling, and Advanced Visualization Choices
5 lessons
  • Building a Simple Dashboard Mindset
  • Combining Multiple Visuals into a Story
  • Comparing Matplotlib and Plotly for Different Use Cases
  • Making Visuals Accessible and Audience-Friendly
  • Presenting Insights with Confidence
6
Module 6: Capstone Workflow, Best Practices, and Next Steps
5 lessons
  • A Complete Visualization Workflow from Data to Story
  • Common Mistakes and How to Fix Them
  • Reproducibility and Reusable Chart Templates
  • Building a Small Portfolio of Business Charts
  • Next Steps and Continuing Your Learning Journey

Certificate of completion

कोर्स पूरा करने के बाद आपको एक सत्यापित प्रमाणपत्र मिलेगा — PDF में डाउनलोड करने योग्य, अद्वितीय नंबर और सत्यापन लिंक के साथ।

Each certificate has a unique verifiable link and QR code.

Frequently asked questions

Is this course free to start?

Yes. You can start learning this course for free.

Who is this course for?

This course is designed for learners who want practical, job-relevant skills and a structured path from basics to application.

Do I need prior experience?

No prior experience is required unless specific prerequisites are listed in the course requirements section.

How long does this course take?

The estimated total study time for this course is 45 min.

How does the certificate work?

इस कोर्स को पूरा करने के बाद आप एक अद्वितीय संख्या और सार्वजनिक सत्यापन लिंक के साथ सत्यापित प्रमाणपत्र डाउनलोड कर सकते हैं।

Learner reviews

4.8
5 ratings
5
4
4
1
3
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2
0
1
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E
Emily R. Verified · 17 मई 2026

Clear chart basics

I finally got Matplotlib styling.

S
Sarah M. Verified · 12 अप्रै. 2026

The Plotly part on interactive charts was especially useful, and the sales trend example made it click fast.

C
Christopher G. Verified · 27 जन. 2026

Good intro to plotting

The business examples were helpful, especially when they showed how to customize labels and colors. I just wish there were a couple more practice datasets.

A
Andrew S. Verified · 24 अक्टू. 2025

Practical and easy to follow

I liked how it moved from basic chart choice to presenting the final visual story. The hands-on sales trend walkthrough felt very real.

O
Olivia H. Verified · 12 जुल. 2025

Learned how to make charts read better.

Learn more

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