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 ...

Building fast and highly performant data science applications requires an intimate knowledge of how data can be organized in a computer and how to efficiently perform operations such as sorting, ...

Data structures and algorithms are vital elements in many computing applications. When programmers design and build applications, they need to model the application data.

We’ll also explore algorithms most commonly used for sorting singly linked lists, and conclude with an example demonstrating the Insertion Sort algorithm.

One fact about machine learning and data algorithms that may surprise business users is that there aren’t actually that many of them. This topic can get overwhelming for busy professionals. But ...

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 ...

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 ...

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.