Data structures offer different ways to store data items, while the algorithms provide techniques for managing this data. Application Data Computing applications use many different types of data.

The data structures and algorithms you use critically affect two factors in your applications: Memory usage (for data structures). CPU time (for algorithms that interact with those data structures).

I'm going to explain to you how I mastered data structures and algorithms quickly without hating my life. Now, I say that ...

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, ...

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.

Watch the 'Data Science Foundations: Data Structures & Algorithms Pathway' Video (5 min.) Master of Science in Data Science. Offered through an interdisciplinary partnership, data science at CU ...