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.

Also, the more memory a data structure uses, the less CPU time associated algorithms will need to process the data items–leading to faster algorithm results. As much as possible, you should ...

Specialization: Data Science Foundations: Data Structures and Algorithms Instructor: Sriram Sankaranarayanan, Assistant Professor Prior knowledge needed: Mathematical Background: We expect that the ...

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 ...

Big data can help but only if we scrutinize the algorithms instead of unquestionably following them. * Correction, Sept. 16, 2016: This article originally misstated that high rejection rates are ...

CSCA 5454: Advanced Data Structures, RSA and Quantum Algorithms Note that you do NOT need to complete all five courses within this specialization to earn admission to the Online MS-CS degree. However, ...

An introduction to the analysis and implementation of algorithms and data structures including linear data structures, trees, graphs, hash tables, searching algorithms, sorting algorithms, ...