Rice University

Python Data Visualization

This course is part of Introduction to Scripting in Python Specialization

Taught in English

Some content may not be translated

Scott Rixner
Joe Warren

Instructors: Scott Rixner

36,144 already enrolled

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Course

Gain insight into a topic and learn the fundamentals

4.6

(534 reviews)

|

95%

Beginner level
No prior experience required
8 hours (approximately)
Flexible schedule
Learn at your own pace

Details to know

Shareable certificate

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Assessments

1 quiz

Course

Gain insight into a topic and learn the fundamentals

4.6

(534 reviews)

|

95%

Beginner level
No prior experience required
8 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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Build your subject-matter expertise

This course is part of the Introduction to Scripting in Python 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
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There are 4 modules in this course

This module will discuss the importance of using and writing documentation. The Python documentation is a valuable resource for learning about language features you haven't seen yet.

What's included

6 videos2 readings1 quiz

This module will teach you about packages and modules in Python, including how to install packages and how to create your own modules. You will also learn to use the Pygal plotting library.

What's included

6 videos3 readings2 app items

This module will teach you about Python sets. Sets are used to hold unordered collections of data without duplicates. We will also discuss efficiency.

What's included

4 videos3 readings1 app item

The final project of the specialization will enable you to demonstrate mastery of the concepts you have learned up to this point. You will also be able to understand and compare different approaches to reconciling two data sets.

What's included

3 videos3 readings1 app item

Instructors

Instructor ratings
4.6 (61 ratings)
Scott Rixner
Rice University
11 Courses381,272 learners

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Rice University

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4.6

534 reviews

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