Applied Social Network Analysis in Python

Overview

After completing the Applied Social Network Analysis in Python course, I gained practical skills in analyzing and visualizing social network data using Python. I learned to use networkx, matplotlib, and other libraries to explore network structures, measure centrality, detect communities, and analyze connectivity patterns. Through hands-on projects, I developed the ability to apply graph theory concepts to real-world datasets, uncovering insights into relationships and interactions. This course equipped me with valuable tools for understanding complex networks and their implications across various domains, from social media to organizational networks.

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