- Algorithms
- Network Analysis
- Pandas (Python Package)
- Python Programming
- Data Import/Export
- Unsupervised Learning
- Data Analysis
- Matplotlib
- Predictive Analytics
- Analysis
- Graph Theory
- Social Network Analysis
Applied Social Network Analysis in Python
Completed by DUSTIN RAY BURNS
August 10, 2018
26 hours (approximately)
DUSTIN RAY BURNS'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
