Applied Social Network Analysis in Python
Completed by Yoshio Seisuke Hasegawa
March 28, 2020
26 hours (approximately)
Yoshio Seisuke Hasegawa'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: Analysis
- Category: Social Network Analysis
- Category: Predictive Modeling
- Category: Graph Theory
- Category: Python Programming
- Category: Algorithms
- Category: Network Model
- Category: Data Analysis
- Category: Predictive Analytics
- Category: Network Analysis
