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, ...

Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...

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 search ...

The rapid evolution of persistent memory (PM) technologies has spurred a significant shift in how data structures and algorithms are designed and implemented. Persistent memory, offering ...

Efficient query processing is underpinned by the design and implementation of novel data structures and algorithms that address the increasing demands of modern data-intensive applications. Recent ...

TLDR: The 2021 Business Intelligence and Data Science Super Bundle offers six courses to help you become a trained data scientist working in one of America’s fastest growing fields. The knowledge ...

Algorithmic systems have a way of making mistakes or leading to undesired consequences. Here are five principles to help technologists deal with that. Algorithms are now used throughout the public and ...