Applied Social Network Analysis in Python
Completed by Matteo Johannes Vincenzo Gloyer
July 19, 2019
26 hours (approximately)
Matteo Johannes Vincenzo Gloyer'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: Social Network Analysis
- Category: Network Model
- Category: Network Analysis
- Category: Predictive Modeling
- Category: Analysis
- Category: Graph Theory
- Category: Python Programming
- Category: Algorithms
- Category: Data Analysis
- Category: Predictive Analytics
