- Analysis
- Graph Theory
- Network Analysis
- Predictive Analytics
- Unsupervised Learning
- Python Programming
- Algorithms
- Data Analysis
- Pandas (Python Package)
- Social Network Analysis
- Matplotlib
- Data Import/Export
Applied Social Network Analysis in Python
Completed by Simoni Bipin Savani
April 24, 2024
26 hours (approximately)
Simoni Bipin Savani'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
