Graph theory Courses

Free Online Course: Advanced Algorithmics and Graph Theory with Python provided by edX is a comprehensive online course, which lasts for 6 weeks long, 2-4 hours a week. The course is taught in English and is free of charge. Upon completion of the course, you can receive an e-certificate from edX. Advanced Algorithmics and Graph Theory with Python is taught by Vincent Gripon, Patrick Meyer, Nicolas Farrugia, Carlos Eduardo Rosar Kos Lassance and Ghouti Boukli Hacene.

Free Online Course: Applied Social Network Analysis in Python provided by Coursera is a comprehensive online course, which lasts for 4 weeks long, 29 hours worth of material. The course is taught in English and is free of charge. Upon completion of the course, you can receive an e-certificate from Coursera. Applied Social Network Analysis in Python is taught by Christopher Brooks, Kevyn Collins-Thompson, Daniel Romero and V. G. Vinod Vydiswaran.

Free Online Course: Introduction to Graph Theory provided by Coursera is a comprehensive online course, which lasts for 5 weeks long, 21 hours worth of material. The course is taught in English and is free of charge. Upon completion of the course, you can receive an e-certificate from Coursera. Introduction to Graph Theory is taught by Alexander S. Kulikov.

Free Online Course: Advanced Graph Theory provided by Swayam is a comprehensive online course, which lasts for 8 weeks long. The course is taught in English and is free of charge. Upon completion of the course, you can receive an e-certificate from Swayam. Advanced Graph Theory is taught by Rajiv Misra.

Free Online Course: From Graph to Knowledge Graph – Algorithms and Applications provided by edX is a comprehensive online course, which lasts for 5 weeks long, 3-5 hours a week. The course is taught in English and is free of charge. From Graph to Knowledge Graph – Algorithms and Applications is taught by Yuxiao Dong, Iris Shen and Hao Ma.

Free Online Course: Случайные графы provided by Coursera is a comprehensive online course, which lasts for 6 weeks long, 21 hours worth of material. The course is taught in Russian and is free of charge. Upon completion of the course, you can receive an e-certificate from Coursera. Случайные графы is taught by Андрей Райгородский.