Applied Social Network Analysis in Python
Completed by Jacob Randall Townsend
December 28, 2018
26 hours (approximately)
Jacob Randall Townsend'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 Modeling
- Category: Python Programming
- Category: Algorithms
- Category: Data Analysis
- Category: Predictive Analytics
- Category: Social Network Analysis
- Category: Graph Theory
- Category: Network Model
- Category: Network Analysis
- Category: Analysis
