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Codio
Select Topics in Python: Matplotlib
Codio

Select Topics in Python: Matplotlib

Patrick Ester

Instructor: Patrick Ester

Access provided by New York State Department of Labor

Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

6 hours to complete
3 weeks at 2 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

6 hours to complete
3 weeks at 2 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Jupyter notebooks

  • Create charts and plots

  • Style and customize charts and plots

Details to know

Shareable certificate

Add to your LinkedIn profile

Taught in English

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This course is part of the Select Topics in Python 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
  • Develop job-relevant skills with hands-on projects
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There are 3 modules in this course

Welcome to Week 1 of the Select Topics in Python: Matplotlib course. These assignments cover the basics of Jupyter notebooks and Matplotlib, customizing a visualization, as well as box plots and histograms. The module ends with graded coding exercises.

What's included

5 readings4 app items

Welcome to Week 2 of the Select Topics in Python: Matplotlib course. These assignments extend the previous module by introducing line charts, area charts, scatter plots, bubble charts, pie charts, and donut charts. The module ends with graded coding exercises.

What's included

5 readings4 app items

Welcome to Week 3 of the Select Topics in Python: Matplotlib course. These assignments cover specialized visualizations, configuring layout and presentation, and adding animations. The module ends with graded coding exercises.

What's included

5 readings4 app items

Instructor

Patrick Ester
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