- Predictive Analytics
- Algorithms
- Matplotlib
- Analysis
- Data Import/Export
- Social Network Analysis
- Graph Theory
- Data Analysis
- Pandas (Python Package)
- Python Programming
- Unsupervised Learning
- Network Analysis
Applied Social Network Analysis in Python
Completed by Juan Pajaro
August 30, 2020
26 hours (approximately)
Juan Pajaro'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
