Applied Social Network Analysis in Python
Completed by Matias Daniel Fernandez Manrique
October 16, 2017
26 hours (approximately)
Matias Daniel Fernandez Manrique'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: Predictive Modeling
- Category: Social Network Analysis
- Category: Predictive Analytics
- Category: Network Model
- Category: Analysis
- Category: Data Analysis
- Category: Python Programming
- Category: Algorithms
- Category: Graph Theory
- Category: Network Analysis
