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 all about array and list data structures in Java, and the algorithms you can use to search and sort the data they contain ...

You Might Also Like Data Structures: Crash Course Computer Science #14 5/31/2017 | 10m 6sVideo has Closed Captions| CC Today we’re going to talk about on how we organize the data we use on our ...

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 ...

Click each topic area to learn more about specific courses. Provides students with a comprehensive survey of technologies used today in the collection, storage, processing, analytics and display of ...

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.

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

Data structures and algorithms constitute the foundational pillars of computer science. They provide the systematic methods for organising, storing and manipulating data, and offer step-by-step ...