Applied Social Network Analysis in Python
Completed by Jacob Michael Stein
August 21, 2019
26 hours (approximately)
Jacob Michael Stein'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: Data Analysis
- Category: Network Model
- Category: Python Programming
- Category: Network Analysis
- Category: Social Network Analysis
- Category: Algorithms
- Category: Predictive Analytics
- Category: Graph Theory
