Tour of the most important data structures, fundamental algorithms, and algorithm design techniques: lists, stacks, queues, dynamic arrays, hash tables, priority queues, disjoint set unions, binary ...

All of the data structures we’ll look at in this series are aggregates. Containers Anything from which data items are stored and retrieved could be considered a data structure. Examples include ...

Foundations of Data Structures and Algorithms Specialization Building fast and highly performant data science applications requires an intimate knowledge of how data can be organized in a computer and ...

Learn when and how to use different data structures and their algorithms in your own code. This is harder as a student, as the problem assignments you'll work through just won't impart this knowledge.

The Foundations of Data Structures and Algorithms specialization includes two optional preparation courses and a three-course pathway to earn admission to the Online MS in Computer Science. You must ...

Description The design, implementation, and analysis of abstract data types, data structures and their algorithms. Topics include: data and procedural abstraction, amortized data structures, trees and ...

Definition of a Data Structure & Algorithms. Data structures and algorithms are vital elements in many computing applications. When programmers design and build applications, they need to model ...