The 9 best Data Structures & Algorithms courses in 2026

This course teaches you the fundamentals of computational phenotyping, a biomedical informatics method for identifying patient populations. In this course you will learn how different clinical data types perform when trying to identify patients with a particular disease or trait. You will also learn how to program different data manipulations and combinations to increase the complexity and improve the performance of your algorithms. Finally, you will have a chance to put your skills to the test with a real-world practical application where you develop a computational phenotyping algorithm to i

This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. In this course, you will dive deep into the foundational concepts of Artificial Intelligence (AI) and its application in game development. By exploring AI techniques in Unity, you’ll learn how to implement AI-driven characters, create realistic movement, and develop advanced pathfinding systems. As you progress, you will discover how mathematics, physics, and algorithms

This course is your gateway to mastering Android game development with Unity 2022. You'll start by learning how to set up Unity and develop a basic understanding of the platform. From there, you will dive into building a simple yet engaging 3D endless runner game, learning how to create game levels, control player movement, and handle game mechanics such as platform spawning and object destruction. Next, the course takes you on an exciting journey to develop a 3D zigzag game, guiding you through advanced mechanics like player control via touch input, spawning platforms with random algorithms,

This course introduces learners to the core principles of artificial intelligence, including its history, definitions, and the role of data in AI. You’ll explore algorithms, specialized hardware, and delve into machine learning and deep learning fundamentals. Ethical considerations around AI, especially generative AI (GenAI), will also be discussed, ensuring you understand the broader impact AI has on society and the workforce. With clear explanations and real-world examples, the course ensures you not only learn theoretical concepts but also understand their practical implications. You’

Machine learning (ML) allows us to teach computers to make predictions and decisions based on data and learn from experiences. In recent years, incredible optimizations have been made to machine learning algorithms, software frameworks, and embedded hardware. Thanks to this, running deep neural networks and other complex machine learning algorithms is possible on low-power devices like microcontrollers. This course will give you a broad overview of how machine learning works, how to train neural networks, and how to deploy those networks to microcontrollers, which is known as embedded machine

In this course, you will learn new data structures for efficiently storing and retrieving data that is structured in an ordered sequence. Such data includes an alphabetical list of names, a family tree, a calendar of events or an inventory organized by part numbers. The specific data structures covered by this course include arrays, linked lists, queues, stacks, trees, binary trees, AVL trees, B-trees and heaps. This course also shows, through algorithm complexity analysis, how these structures enable the fastest algorithms to search and sort data.

Comprehensive Java course covering core syntax, OOP, collections, and modern Java features.

Ace technical interviews — big O, data structures, algorithms, and interview strategy.

Master JavaScript fundamentals, ES6, algorithms, and data structures with free interactive challenges.