The "Data Visualization Fundamentals in Python" course empowers you to transform data into compelling visual narratives. Dive into the principles and best practices of data visualization, blending the art and science to tell impactful data stories using Python.
Data Visualization Fundamentals in Python
Data Visualization Fundamentals in Python
This course is part of Data Visualization: Fundamentals to Interactive Storytelling Specialization
Instructor: P.J. Grosse
Included with 
Gain insight into a topic and learn the fundamentals.
Intermediate level
Some related experience required
2 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Build toward a degree
What you'll learn
Develop interactive visualizations using Python libraries.
Implement data visualization techniques and plots using Python libraries, such as Matplotlib and Seaborn to tell a compelling story
Customize visualization features and styles with themes, colors, and chart elements for clear communication.
Apply human perception principles to enhance the effectiveness and interpretability of your visualizations.
Skills you'll gain
- Data Visualization Software
- Data Storytelling
- Graphing
- Jupyter
- Interactive Data Visualization
- Data Analysis
- Statistical Visualization
- NumPy
- Plot (Graphics)
- Scatter Plots
- Pandas (Python Package)
- Data Manipulation
- Histogram
- Data Literacy
- Seaborn
- Design Elements And Principles
- Data Presentation
- Data Visualization
- Matplotlib
- Python Programming
Details to know
Shareable certificate
Add to your LinkedIn profile
Recently updated!
August 2025
Assessments
10 assignments
Taught in English
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This course is part of the Data Visualization: Fundamentals to Interactive Storytelling Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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- Gain a foundational understanding of a subject or tool
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There are 5 modules in this course
This module introduces the goals of the course, and provides an overview of what data visualization is, why does it matter, and reviews historical examples of data visualizations.
What's included
5 videos8 readings2 assignments1 plugin
This module teaches the principles of visualization, what makes visualizations effective, and how different data types can be visualized.
What's included
5 videos5 readings2 assignments
This module introduces basic Python programming within Jupyter notebook environment.
What's included
34 videos2 readings2 assignments
This module teaches creating and customizing data charts using Python libraries of Matplotlib.
What's included
4 videos9 readings2 assignments1 discussion prompt1 ungraded lab
This module teaches advanced charting using Python libraries such as Seaborn and provides a contrast between Seaborn vs Matplotlib libraries for data visualization.
What's included
3 videos9 readings2 assignments1 discussion prompt3 ungraded labs
Earn a career certificate
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Build toward a degree
This course is part of the following degree program(s) offered by University of Pittsburgh. If you are admitted and enroll, your completed coursework may count toward your degree learning and your progress can transfer with you.¹
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