Introduction to Network Analysis in Python
This course will equip you with the skills to analyze, visualize, and make sense of networks using the NetworkX library.
4 Hours
Data Carpentry instructor and author of nxviz package
Eric uses code to solve big biological data problems at MIT. His tools of choice are: deep learning, network analysis, non-parametric and Bayesian statistics. He has domain expertise in the life sciences: molecular biology, microbiology, genetics and genomics, and a bit of ecology. He has given workshops on Network Analysis at PyCon, PyData, ODSC and beyond!
This course will equip you with the skills to analyze, visualize, and make sense of networks using the NetworkX library.
Analyze time series graphs, use bipartite graphs, and gain the skills to tackle advanced problems in network analytics.