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

This tutorial launches a short series introducing data structures and algorithms. In Part 1, you’ll learn what a data structure is and how data structures are classified.

Draw it, visualize it in your head, whatever you need to do: Understand the structure intuitively. Learn when and how to use different data structures and their algorithms in your own code.

If you choose this pathway, you must complete three courses in the Foundations of Data Structures and Algorithms specialization.

Introduction to the fundamental principles of data structures and algorithms and their efficient implementation. Developing algorithmic thinking. Basic toolkit for the design and analysis of ...

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 ...

Catalog : EECE.3220 Data Structures (Formerly 16.322) Id: 003179 Credits Min: 3 Credits Max: 3 Description Covers algorithms and their performance analysis, data structures, abstraction, and ...

Learn how to search and sort linked lists in Java! Find out which algorithms are most used to sort linked lists and how each one stacks up for performance ...

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, ...