Applied Social Network Analysis in Python
Completed by Thomas Frank Sebastian Büttner
November 20, 2017
26 hours (approximately)
Thomas Frank Sebastian Büttner'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: Analysis
- Category: Predictive Modeling
- Category: Network Model
- Category: Predictive Analytics
- Category: Data Analysis
- Category: Graph Theory
- Category: Python Programming
- Category: Algorithms
- Category: Network Analysis
