Python Data Visualization
Learn data visualization in Python using packages like Matplotlib and Pygal to create compelling data plots.
Learn data visualization in Python using packages like Matplotlib and Pygal to create compelling data plots.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Introduction to Scripting in Python Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.6
(538 ratings)
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English
پښتو, বাংলা, اردو, 3 more
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What you'll learn
Install and use Python visualization packages effectively
Create line plots and maps using Pygal and Matplotlib
Write clear documentation for Python code
Analyze and visualize GDP data with Python
Optimize code efficiency for data processing
Skills you'll gain
This course includes:
2.4 Hours PreRecorded video
1 quiz
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This comprehensive course focuses on data visualization techniques using Python. Students learn to install and use external packages, acquire data from web sources, and create various types of plots and visualizations. The curriculum covers documentation writing, package management, and efficient coding practices. Through hands-on projects, learners create line plots of GDP data and world maps, gaining practical experience in data visualization and analysis.
Week 1
Module 1 · 1 Hours to complete
Week 2
Module 2 · 3 Hours to complete
Week 3
Module 3 · 2 Hours to complete
Week 4
Module 4 · 1 Hours to complete
Fee Structure
Instructors
Professor and Researcher
Scott Rixner is a Professor of Computer Science at Rice University, where his research primarily focuses on virtualization, operating systems, and computer architecture. He is particularly interested in memory systems and networking, exploring the intersection of hardware and software to enhance system performance. Rixner has developed Python interpreters for various platforms, including embedded systems and web browsers, and holds 11 patents related to his work, which has been integrated into several open-source projects.In addition to his research, Rixner plays a significant role in curriculum development at Rice University, having chaired committees for both the Department of Computer Science and the School of Engineering. He is also involved in leading the MCS@Rice and MDS@Rice online degree programs. Rixner earned his Ph.D. in Electrical Engineering from MIT in 2001, following a Master’s and Bachelor’s degree in Computer Science and Electrical Engineering from the same institution in 1995.
Innovator in Computer Graphics and Game Design
Joe Warren is a Professor in the Department of Computer Science at Rice University, where he specializes in computer graphics and geometric modeling. He has made significant contributions to the field, authoring the book Subdivision Methods for Geometric Design and publishing extensively on various topics within computer graphics. Warren has a strong passion for computer gaming, both as a player and an educator; he has taught courses on game creation and design for over a decade, collaborating with industry professionals in Houston. An alumnus of Rice University, he completed his undergraduate studies there before earning his Ph.D. from Cornell University in 1986. Since then, he has been a dedicated faculty member at Rice, serving as the Chair of the Department from 2008 to 2013.
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4.6 course rating
538 ratings
Frequently asked questions
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