Applied Social Network Analysis in Python
Completed by Michael Roenning
June 14, 2019
26 hours (approximately)
Michael Roenning'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: Data Analysis
- Category: Python Programming
- Category: Social Network Analysis
- Category: Algorithms
- Category: Graph Theory
- Category: Network Analysis
