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