Introduction to Graph Theory and Complex Networks Analysis
Requirements
- Curiosity
- Basic knowledge/understanding of mathematics
- Basic knowledge/understanding of statistics
Description
Free final test to get a certificate inside. Suggested playback 1.25.
With this course you will learn what graphs are and how to use these structures to solve real life problems. In the second section of this course you will learn what complex networks are and how you can extract information from them. Finally you will see two practical examples of network analysis and some tools to enjoy graph theory and complex networks analysis.
Who this course is for:
- Anyone willing to know how things connected together form meaningful structures
Course content
- 12:30Introduction to Graph Theory
- 14:32One Structure many Types
- 08:23Basic Theoretical Results and Applications
Instructor
Former researcher, data scientist and lifelong computer scientist. Experience in scientific research, graph theory, network science and complex networks, machine learning, data science and analysis, complex systems, algorithms design, computational linguistics, natural language processing, software development, computational biology, big data. Research Scientist. Lecturer and teaching assistant. Passionate about languages, linguistics, astronomy and astrophysics.