- Pandas (Python Package)
- Data Import/Export
- Graph Theory
- Python Programming
- Social Network Analysis
- Unsupervised Learning
- Algorithms
- Predictive Analytics
- Data Analysis
- Analysis
- Matplotlib
- Network Analysis
Applied Social Network Analysis in Python
Completed by Mathias Jacques David
March 1, 2020
26 hours (approximately)
Mathias Jacques David'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
