- Data Import/Export
- Analysis
- Predictive Analytics
- Python Programming
- Unsupervised Learning
- Data Analysis
- Social Network Analysis
- Matplotlib
- Pandas (Python Package)
- Graph Theory
- Algorithms
- Network Analysis
Applied Social Network Analysis in Python
Completed by Ravi Pandey
September 5, 2020
26 hours (approximately)
Ravi Pandey'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
