Overview
The Applied Social Network Analysis in Python course offered by Coursera in partnership with University of Michigan will introduce the learner to network analysis through tutorials using the NetworkX library.
The course begins with an understanding of what network analysis is and motivations for why we might model phenomena as networks.
The second week introduces the concept of connectivity and network robustness. The third week will explore ways of measuring the importance or centrality of a node in a network. The final week will explore the evolution of networks over time and cover models of network generation and the link prediction problem.
This course should be taken after: Introduction to Data Science in Python, Applied Plotting, Charting & Data Representation in Python, and Applied Machine Learning in Python.
What You Will Learn
- Represent and manipulate networked data using the NetworkX library
- Analyze the connectivity of a network
- Measure the importance or centrality of a node in a network
- Predict the evolution of networks over time
Get more details
Visit programme websiteProgramme Structure
Courses included:
- Why Study Networks and Basics on NetworkX
- Network Connectivity
- Influence Measures and Network Centralization
- Network Evolution
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 2 days
Start dates & application deadlines
Language
Delivered
Disciplines
Computer Sciences Software Engineering Machine Learning View 712 other Short Courses in Computer Sciences in United StatesExplore more key information
Visit programme websiteWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Intermediate level
- Some related experience required
Make sure you meet all requirements
Visit programme websiteTuition Fee
-
International
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 2 days. -
National
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 2 days.
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Funding
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.