Applied Social Network Analysis in Python
Completed by Thomas Frank Lautenbach
July 18, 2024
26 hours (approximately)
Thomas Frank Lautenbach'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: Network Model
- Category: Predictive Analytics
- Category: Social Network Analysis
- Category: Network Analysis
- Category: Algorithms
- Category: Data Analysis
- Category: Graph Theory
- Category: Python Programming
