Applied Social Network Analysis in Python
Completed by Roman Kulikovskiy
April 15, 2020
26 hours (approximately)
Roman Kulikovskiy'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: Social Network Analysis
- Category: Network Model
- Category: Graph Theory
- Category: Python Programming
- Category: Network Analysis
