Graph Courses | Coursera

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Courses and Specializations

Probabilistic Graphical Models

3-course Specialization·Stanford University

Algorithms, Part I

Princeton University

Introduction to Graph Theory

University of California, San Diego, Higher School of Economics

Data Structures and Algorithms

6-course Specialization·University of California, San Diego, Higher School of Economics

Algorithms, Part II

Princeton University

Graph Search, Shortest Paths, and Data Structures

Stanford University

Big Data

6-course Specialization·University of California, San Diego

Algorithms on Graphs

University of California, San Diego, Higher School of Economics

Introduction to Discrete Mathematics for Computer Science

5-course Specialization·Higher School of Economics, University of California, San Diego

Discrete Mathematics

Shanghai Jiao Tong University

Graph Analytics for Big Data

University of California, San Diego

Big Data Analysis: Hive, Spark SQL, DataFrames and GraphFrames

Business English: Making Presentations

University of Washington

Probabilistic Graphical Models 1: Representation

Stanford University

Pre-Calculus: Functions

University of California, Irvine

Data Visualization

University of Illinois at Urbana-Champaign

Algorithmic Thinking (Part 1)

Rice University

Pattern Discovery in Data Mining

University of Illinois at Urbana-Champaign

Robotics: Computational Motion Planning

University of Pennsylvania

Solving Delivery Problem

University of California, San Diego