Overview
Humans are natural network scientists, as we compute new network configurations all the time, almost unaware, when thinking about friends and family (which are particular forms of social networks), about colleagues and organizational relations (other, overlapping network structures), and about how to navigate delicate or opportunistic network configurations to save guard or advance in our social standing (with society being one big social network itself).
While such network structures always existed, computational social science has helped to reveal and to study them more systematically. In the first part of the course we focus on network structure.
This looks as static snapshots of networks, which can be intricate and reveal important aspects of social systems. In our hands-on lab, you will also visualize and analyze a network with a software yourself, which will help to appreciate the complexity social networks can take on. During the second part of the Social Network Analysis course offered by Coursera in partnership with UC Davis, we will look at how networks evolve in time. We ask how we can predict what kind of network will form and if and how we could influence network dynamics.
What you'll learn
Define networks and discover the languages networks use.
Analyze a social network through data wrangling and visualizing a network.
Discuss what mechanisms generate networks.
Examine social networks analysis using case studies.
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Visit programme websiteProgramme Structure
Course structure:
- Data Wrangling
- Network Measures
- Network Measures
- Influentials
- Who's Influential?
- Twitter Cascades
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 1 days
Start dates & application deadlines
Language
Delivered
Disciplines
Software Engineering Data Analytics View 177 other Short Courses in Data Analytics in United StatesExplore more key information
Visit programme websiteAcademic 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
- Beginner level
- No previous experience necessary
Make sure you meet all requirements
Visit programme websiteTuition Fee
-
International
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 days. -
National
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 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.