Applied Social Network Analysis in Python
Completed by Mauro Ezequiel Bordon
November 9, 2020
26 hours (approximately)
Mauro Ezequiel Bordon'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: Graph Theory
- Category: Social Network Analysis
- Category: Network Model
- Category: Data Analysis
- Category: Network Analysis
- Category: Algorithms
- Category: Predictive Analytics
