Who is this class for: The course is aimed at people interested in researching social and economic networks, but should be accessible to advanced undergraduates and other people who have some prerequisites in mathematics and statistics. For example, it will be assumed that students are comfortable with basic concepts from linear algebra (e.g., matrix multiplication), probability theory (e.g., probability distributions, expected values, Bayes' rule), and statistics (e.g., hypothesis testing). Beyond those concepts, the course is self-contained.

Created by:  Stanford University

How To PassPass all graded assignments to complete the course.
User Ratings
4.8 stars
Average User Rating 4.8See what learners said

How It Works

Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.

Help from Your Peers
Help from Your Peers

Connect with thousands of other learners and debate ideas, discuss course material, and get help mastering concepts.


Earn official recognition for your work, and share your success with friends, colleagues, and employers.

Stanford University
The Leland Stanford Junior University, commonly referred to as Stanford University or Stanford, is an American private research university located in Stanford, California on an 8,180-acre (3,310 ha) campus near Palo Alto, California, United States.
Ratings and Reviews
Rated 4.8 out of 5 of 170 ratings

An excellent and very useful course. Recommend with no reserves to anyone willing to understand the world from a well structured perspective

This course is quite helpful as network theory can be applied in epidemiology, economics, sociology and even physics. I would recommend this to anyone who wishes to learn how a certain group of subjects act in real world situations.

Matt is the simple the best! We've covered a lot of different models and examples. Probably the best networks course that you can take.