Python Data Journey: From Collection to Visualization
Master practical Python skills through hands-on projects in data retrieval, processing, and visualization.
Master practical Python skills through hands-on projects in data retrieval, processing, and visualization.
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 Python for Everybody 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.
4.7
(13,892 ratings)
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Instructors:
English
বাংলা, اردو, Tiếng Việt, 2 more
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What you'll learn
Build and implement PageRank-style search algorithms
Create effective data visualizations and representations
Process and analyze email data with Python
Develop skills in Unicode handling and string manipulation
Master data retrieval and processing techniques
Skills you'll gain
This course includes:
2.8 Hours PreRecorded video
1 assignment
Access on Mobile, Tablet, Desktop
FullTime access
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There are 7 modules in this course
This comprehensive capstone course focuses on practical applications of Python for data analysis. Students work on real-world projects involving data retrieval, processing, and visualization. The curriculum covers building search engines, implementing PageRank algorithms, processing email data, and creating various data visualizations. Special emphasis is placed on hands-on experience with different data sources and visualization techniques. The course combines theoretical knowledge with practical implementation through a series of guided projects.
Welcome to the Capstone
Module 1 · 1 Hours to complete
Building a Search Engine
Module 2 · 2 Hours to complete
Exploring Data Sources
Module 3 · 39 Minutes to complete
Spidering and Modeling Email Data
Module 4 · 1 Hours to complete
Accessing New Data Sources
Module 5 · 24 Minutes to complete
Visualizing Email Data
Module 6 · 1 Hours to complete
Visualizing new Data Sources
Module 7 · 47 Minutes to complete
Fee Structure
Instructor
Innovating Education Through Technology
Charles Severance, known as Dr. Chuck, is a Clinical Professor at the University of Michigan School of Information, where he teaches technology-focused courses, including programming, database design, and web development. An accomplished author, he has written several books, such as Using Google App Engine and Python for Everybody. His research centers on developing learning management systems, having served as the chief architect for Sakai, which is utilized by approximately 300 educational institutions worldwide. He documented his experiences in the project through his book, Sakai: Free as in Freedom. In the mid-1990s, Dr. Severance hosted Internet: TCI, a national television talk show discussing internet topics. He also contributed to IEEE Computer Magazine as a columnist, where he conducted video interviews with prominent technology leaders and innovators in his monthly feature, "Computing Conversations."
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4.7 course rating
13,892 ratings
Frequently asked questions
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