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. What this data consists of ...

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 ...

Vectors, lists, arrays, matrices and data frames -- a look at five of the most fundamental data structures built into R. Among my colleagues, R is one of the fastest-growing programming languages.

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 ...

Computer Science: Data Structures and Algorithms (DS&A) are the essential "backbone" of computer science's huge architecture, giving almost all contemporary technologies their structural integrity. DS ...