Applied Social Network Analysis in Python
Completed by David John Progatsky Sandoval
May 1, 2018
26 hours (approximately)
David John Progatsky Sandoval'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: Algorithms
- Category: Predictive Modeling
- Category: Network Model
- Category: Analysis
- Category: Data Analysis
- Category: Social Network Analysis
- Category: Predictive Analytics
- Category: Graph Theory
- Category: Network Analysis
