This complete algorithms and data structures course is designed to give you a strong foundation in one of the most important areas of computer science. You’ll begin with a clear overview of the course structure and objectives before diving into the analysis of algorithms. Lessons cover asymptotic notation, time complexity and Big O, Big Omega and Big Theta notations, helping you evaluate and compare the performance of algorithms effectively. Interactive exercises guide you through cost analysis so you can apply these concepts to your own code with confidence.

You’ll then build practical skills by learning key data structures. The course starts with dictionaries, showing you how to implement them, iterate through keys and values, use advanced iteration techniques and apply fundamental methods. Solved problems such as a casino simulation and a bag of words algorithm demonstrate how dictionaries work in real-world scenarios.

Next, you’ll explore stacks, a fundamental data structure for expression evaluation and backtracking algorithms. You’ll learn how to implement stacks and solve problems such as detecting palindromic sequences and evaluating parenthesisation. Vectors follow, where you’ll discover how to implement them, apply core methods and solve practical exercises like finding minimum values, identifying identical elements and reversing sequences.

The course concludes with an introduction to dynamic programming, one of the most powerful techniques for solving complex problems efficiently. You’ll learn step by step how to apply dynamic programming principles with examples like the Fibonacci sequence, guidelines for implementation and the weighted activity selection problem. By the end of the course, you’ll have a solid understanding of algorithms and data structures and the ability to design optimised solutions for a wide range of programming challenges.