DA
Data ScienceIntermediate

Data Visualization with Matplotlib & Seaborn

Turn raw data into compelling, publication-quality charts. Master Matplotlib for fine-grained control and Seaborn for beautiful statistical plots — then build interactive dashboards with Plotly.

4.7(2,200 ratings)
20K+ students enrolled
Last updated: January 2026EnglishSubtitles: English

What You'll Learn

Create line, bar, scatter, histogram, and pie charts with Matplotlib

Customise plots: titles, labels, legends, colors, and styles

Build statistical plots with Seaborn: heatmaps, boxplots, pair plots

Choose the right chart type for different data and stories

Create interactive charts and dashboards with Plotly Express

Export publication-quality figures for reports and presentations

Curriculum Breakdown

4 Modules 20 Lessons • 20h Total8+ Downloadable Resources
Seaborn Overview & Themes
8:30
Distribution Plots: histplot, kdeplot, boxplot
12:00
Relationship Plots: scatterplot, lineplot, heatmap
13:00
Categorical Plots: barplot, violinplot, stripplot
11:30
Pair Plots & FacetGrid
12:00

Learning Format

Video Lessons

High-quality recorded lessons you can watch at your own pace.

20 lessons

Hands-on Projects

Real-world projects that reinforce every concept you learn.

2 projects

Certificate

Earn a verifiable certificate upon successful completion.

On completion

Certification Details

🎓

Data Visualization Certificate

Issued by Tech101

Prove your ability to communicate data insights through professional visualisations.

Certificate Requirements

  • Shareable on LinkedIn
  • PDF download
  • Unique verification ID

Completion Certificate

Awarded upon finishing all course content and submitting projects. Shows dedication and completion.

Graded Certificate

Earned by passing the final assessment with 70%+ score. Demonstrates verified skill proficiency.

Your Instructor

SJ

Sarah Johnson

Data Scientist & ML Engineer

Sarah has 10 years of experience in data science and machine learning, previously at Google AI and DeepMind.

4.8
Instructor Rating
5.1K
Reviews
38K+
Students
6
Courses
4.8 Instructor Rating

Requirements & Prerequisites

Technical Requirements

  • Python basics and Pandas fundamentals
  • Jupyter Notebook environment

Who This Course Is For

  • Data analysts who want to make their reports stand out
  • Data Science students building their toolkit
  • Anyone who works with data and wants to communicate it better

Student Reviews

4.7
2,200 ratings
72%
18%
6%
2%
2%

Frequently Asked Questions

Ready to Begin?

Ready to Start Your Data Science Journey?

Join 20K+ students who are already building real skills with Data Visualization with Matplotlib & Seaborn.

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