- Data Analysis
- Algorithms
- Data Import/Export
- Predictive Analytics
- Graph Theory
- Pandas (Python Package)
- Unsupervised Learning
- Python Programming
- Matplotlib
- Social Network Analysis
- Analysis
- Network Analysis
Applied Social Network Analysis in Python
Completed by David Jiménez Pérez
June 4, 2020
26 hours (approximately)
David Jiménez Pérez'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
