Social Network Analysis Course

Professor Lada Adamic created the Social Network Analysis MOOC to instruct a diverse audience in a practical way to make sense of the structure and evolution of social networks. This course draws from a broad array of disciplines including sociology, mathematics, computer science, economics and physics in its online interactive demonstrations and hands-on analysis.

Using NetMiner for Text Data Preprocessing, Topic Modeling, and Word Network Extraction & Visualization.

Digital technology has not only revolutionized society, but also the way we can study it. Currently, this is taken advantage of by the most valuable companies in Silicon Valley, the most powerful governmental agencies, and the most influential social movements. What they have in common is that they use computational tools to understand, and ultimately influence human behavior and social dynamics.
An increasing part of human interaction leaves a massive digital footprint behind. Studying it allows us to gain unprecedented insights into what society is and how it works, including its intricate social networks that had long been obscure. Computational power allows us to detect hidden patterns through analytical tools like machine learning and to natural language processing. Finally, computer simulations enable us to explore hypothetical situations that may not even exist in reality, but that we would like to exist: a better world.

Mastering Networking with Network Fundamentals, Wireshark Network Analysis and Cisco Packet Tracer Network simulations

Learn to Analyse Qualitative Data, Conduct Literature Review, Thematic Analysis, Grounded Theory & Much More Using Nvivo

Mastering Networking with Network Fundamentals, Wireshark Network Analysis and Cisco Packet Tracer Network simulations