Applied Social Network Analysis in Python
Completed by Andrew Escay
March 8, 2018
26 hours (approximately)
Andrew Escay'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: Analysis
- Category: Data Analysis
- Category: Predictive Modeling
- Category: Graph Theory
- Category: Social Network Analysis
- Category: Python Programming
- Category: Algorithms
- Category: Predictive Analytics
- Category: Network Analysis
