The top-down approach begins with a high-level view of the business needs and strategic objectives, then gradually breaks down this view into detailed data structures and components. The bottom-up ...

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, ...

Specialization: Foundations of Data Structures and Algorithms; Instructor: Dr. Sriram Sankaranarayanan, Professor of Computer Science; Prior knowledge needed: You must understand all concepts covered ...

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 ...

Many organizations nowadays are struggling with finding the appropriate data stores for their data, making it important to understand the differences and similarities between data warehouses, data ...

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.