Applied Social Network Analysis in Python
Completed by Thomas Keith Tomosky
October 2, 2017
26 hours (approximately)
Thomas Keith Tomosky'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: Social Network Analysis
- Category: Predictive Analytics
- Category: Data Analysis
- Category: Graph Theory
- Category: Analysis
- Category: Python Programming
- Category: Algorithms
- Category: Predictive Modeling
- Category: Network Analysis
