Applied Social Network Analysis in Python
Completed by Titus Stronski
December 7, 2018
26 hours (approximately)
Titus Stronski'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: Network Analysis
- Category: Network Model
- Category: Social Network Analysis
- Category: Data Analysis
- Category: Predictive Modeling
- Category: Graph Theory
- Category: Python Programming
- Category: Algorithms
- Category: Predictive Analytics
