Applied Social Network Analysis in Python
Completed by Jonathan Kaija
February 24, 2018
26 hours (approximately)
Jonathan Kaija'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: Python Programming
- Category: Data Analysis
- Category: Analysis
- Category: Network Model
- Category: Predictive Analytics
- Category: Algorithms
- Category: Predictive Modeling
- Category: Social Network Analysis
- Category: Graph Theory
- Category: Network Analysis
