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What you'll learn

Define basic tree data structures and identify algorithmic functions associated with them

Execute traversals and create graphs within a binary search tree structure

Describe strongly connected components in graphs

Skills you'll gain

Data Structures

Theoretical Computer Science

Algorithms

Probability & Statistics

Graph Theory

Tree Maps

Computational Thinking

Network Analysis

There are 4 modules in this course

Trees and Graphs: Basics can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder.

Basics of Graphs and Graphs Traversals

Union-Find Data Structures and Spanning Tree Algorithms

Shortest Path Algorithms