- Algorithms
- Data Analysis
- Pandas (Python Package)
- Graph Theory
- Predictive Analytics
- Matplotlib
- Social Network Analysis
- Network Analysis
- Analysis
- Data Import/Export
- Python Programming
- Unsupervised Learning
Applied Social Network Analysis in Python
Completed by Lucas Paiolla Forastiere
March 20, 2021
26 hours (approximately)
Lucas Paiolla Forastiere'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
