Applied Social Network Analysis in Python
Completed by Ryan Broderick
September 25, 2017
26 hours (approximately)
Ryan Broderick'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
