Applied Social Network Analysis in Python
Completed by Mikael Helmers
September 25, 2017
26 hours (approximately)
Mikael Helmers'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: Predictive Analytics
- Category: Data Analysis
- Category: Python Programming
- Category: Social Network Analysis
- Category: Algorithms
- Category: Graph Theory
- Category: Network Analysis
