- Predictive Analytics
- Algorithms
- Matplotlib
- Network Analysis
- Unsupervised Learning
- Data Import/Export
- Social Network Analysis
- Python Programming
- Pandas (Python Package)
- Data Analysis
- Analysis
- Graph Theory
Applied Social Network Analysis in Python
Completed by Juan Manuel Cedeno Torres
November 6, 2022
26 hours (approximately)
Juan Manuel Cedeno Torres'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
