- Algorithms
- Network Analysis
- Pandas (Python Package)
- Analysis
- Data Analysis
- Data Import/Export
- Matplotlib
- Python Programming
- Graph Theory
- Social Network Analysis
- Predictive Analytics
- Unsupervised Learning
Applied Social Network Analysis in Python
Completed by SUBRAHMANYA SAICHARAN PEMMARAJU
July 19, 2021
26 hours (approximately)
SUBRAHMANYA SAICHARAN PEMMARAJU'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
