Applied Social Network Analysis in Python
Completed by Marc Rebholz
August 1, 2024
26 hours (approximately)
Marc Rebholz'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: Social Network Analysis
- Category: Graph Theory
- Category: Python Programming
- Category: Predictive Modeling
- Category: Algorithms
- Category: Network Model
- Category: Predictive Analytics
- Category: Data Analysis
- Category: Network Analysis
- Category: Analysis
