Computer Science Courses

Learn best practices for building scalable, high-performance web applications. Deep dive into front-end engineering: DOM APIs, virtualization, state management, and performance.

Elevate your technical prowess in data structures and algorithms, focusing on trees, graph theory, and dynamic programming. Learn practical implementation and optimization techniques to solve complex algorithmic challenges efficiently.

Build a mental model of JavaScript's performance characteristics through understanding virtual machines under the hood.

Put algorithms and computer science techniques into practice! Think through challenges and apply techniques like recursion, traversals, acyclic paths, memoization

The last algorithms course you’ll need to pass tough interview questions that use arrays, lists, trees, graphs, maps, and searching and sorting algorithms.

Learn our computer science intro course and understand Algorithms and Big O Analysis, Recursion, Sorting, Data Structures, AVL Trees, and more.

Trees and graphs are non-linear data structures, which allows for modelling things such as recommendation algorithms and social networks. Learn more!

Learn to solve algorithms and analyze them efficiently in both an interview setting and also in your day-to-day development.