Applied Social Network Analysis in Python
Completed by Joel Richard Seibert
January 21, 2026
26 hours (approximately)
Joel Richard Seibert's account is verified. Coursera certifies their successful completion of Applied Social Network Analysis 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
Skills you will gain
- Category: Network Model
- Category: Predictive Analytics
- Category: Social Network Analysis
- Category: Graph Theory
- Category: Data Analysis
- Category: Python Programming
- Category: Algorithms
- Category: Predictive Modeling
- Category: Analysis
- Category: Network Analysis
