I see it time and again in Google interviews or new-grad hires: The way data structures and algorithms — among the most important subjects in a proper computer science curriculum — are learnt is often ...

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 ...

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, ...

Want to learn more? Click the button below to watch the Data Science Foundations: Data Structures & Algorithms pathway instructor give an overview of the topics covered in this pathway. Watch the ...

How to recognize and use array and list data structures in your Java programs. Which algorithms work best with different types of array and list data structures. Why some algorithms will work better ...

Java programmers use data structures to store and organize data, and we use algorithms to manipulate the data in those structures. The more you understand about data structures and algorithms, and how ...

This course is compulsory on the BSc in Data Science and BSc in Mathematics with Data Science. This course is available on the BSc in Mathematics and Economics, BSc in Mathematics with Economics and ...