Evaluating and Fine-Tuning Classification Models in Python

Free Live ML Workshop #5 on Nov 5 - Register Now

dotsdots

Applied Social Network Analysis in Python

Description

This course will introduce the learner to network analysis through tutorials using the NetworkX library. The course begins with an understanding of what network analysis is and motivations for why we might model phenomena as networks. The second week introduces the concept of connectivity and network robustness. The third week will explore ways of measuring the importance or centrality of a node in a network. The final week will explore the evolution of networks over time and cover models of network generation and the link prediction problem.Read more.

This resource is offered by an affiliate partner. If you pay for training, we may earn a commission to support this site.

Career Relevance by Data Role

The techniques and tools covered in Applied Social Network Analysis in Python are most similar to the requirements found in Business Analyst job advertisements.

Similarity Scores (Out of 100)