Applied Social Network Analysis in Python
Completed by Emmanuel Seynaeve
February 22, 2019
26 hours (approximately)
Emmanuel Seynaeve'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 Analysis
- Category: Network Model
- Category: Analysis
- Category: Predictive Modeling
- Category: Social Network Analysis
- Category: Data Analysis
- Category: Predictive Analytics
- Category: Graph Theory
- Category: Algorithms
- Category: Python Programming
