Applied Social Network Analysis in Python
Completed by Scott Baldwin
March 1, 2019
26 hours (approximately)
Scott Baldwin'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 Analytics
- Category: Python Programming
- Category: Graph Theory
- Category: Network Analysis
- Category: Social Network Analysis
- Category: Algorithms
- Category: Data Analysis
- Category: Network Model
