Capstone: Analyzing (Social) Network Data
- Offered byCoursera
Capstone: Analyzing (Social) Network Data at Coursera Overview
Duration | 18 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course  |
Credential | Certificate |
Capstone: Analyzing (Social) Network Data at Coursera Highlights
- Shareable Certificate Earn a Certificate upon completion
- 100% online Start instantly and learn at your own schedule.
- Course 5 of 5 in the Object Oriented Java Programming: Data Structures and Beyond Specialization
- Flexible deadlines Reset deadlines in accordance to your schedule.
- Approx. 18 hours to complete
- English Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, Spanish
Capstone: Analyzing (Social) Network Data at Coursera Course details
- In this capstone project we?ll combine all of the skills from all four specialization courses to do something really fun: analyze social networks!
- The opportunities for learning are practically endless in a social network. Who are the ?influential? members of the network? What are the sub-communities in the network? Who is connected to whom, and by how many links? These are just some of the questions you can explore in this project.
- We will provide you with a real-world data set and some infrastructure for getting started, as well as some warm up tasks and basic project requirements, but then it?ll be up to you where you want to take the project. If you?re running short on ideas, we?ll have several suggested directions that can help get your creativity and imagination going. Finally, to integrate the skills you acquired in course 4 (and to show off your project!) you will be asked to create a video showcase of your final product.
Capstone: Analyzing (Social) Network Data at Coursera Curriculum
Introduction and Warm up
Welcome and Course Introduction
Capstone Project Exemplar
Project overview and timeline
Introduction to (some) social network data
Representing social network data as a graph
Warm up algorithm 1: Extracting egonets
Warm up algorithm 2: Strongly Connected Components
Warm up algorithm 2: Strongly connected components, part 2
By the end of this capstone, you will be able to ...
Specialization Completion Rewards
Capstone Project Overview
Capstone Warmup Assignment: Where to get help
Warm-up Feedback
Project Definition and Scope
Week 2 introduction
Project idea: information flow in a social network
Project idea: broadcasting to a Twitter network, part 1
Project idea: broadcasting to a Twitter network, part 2
Project idea: detecting communities
Analyzing algorithms before implementing
Preparing to watch the "Project ideas" videos
Example Report: Scope and Problem Definition
End of Week Feedback
Capstone Implementation: Mini-project
Week 3 introduction
Overview of report
Sample Project Reports
End of Week Feedback
Capstone Implementation: Full project checkpoint
Week 4 introduction
Content Links to Prevous Courses
Capstone Implementation: Full project final deadline
Week 5 introduction
Peer review best practices
End of Week Feedback
Capstone oral report
Week 6 introduction
Demo presentation
End of Specialization message
End of Capstone Feedback
End of Specialization Feedback
Capstone: Analyzing (Social) Network Data at Coursera Admission Process
Important Dates
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Student Forum
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