University of Pittsburgh

Data Visualization Fundamentals in Python

University of Pittsburgh

Data Visualization Fundamentals in Python

This course is part of Data Visualization: Fundamentals to Interactive Storytelling Specialization

P.J. Grosse

Instructor: P.J. Grosse

Access provided by Martin Luther Christian University

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
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

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.

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

10 assignments

Taught in English

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Build your subject-matter expertise

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.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

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 assignments

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

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

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

Instructor

P.J. Grosse
University of Pittsburgh
4 Courses 1,377 learners

Offered by

University of Pittsburgh

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