Intermediate Data Structures & Algorithmic Patterns

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 advanced data structures and algorithmic patterns to improve your problem-solving abilities. Through practical examples, you'll gain a strong foundation in complex concepts like stacks, queues, binary search, and binary trees. The course covers various techniques and strategies to optimize your code and tackle problems more efficiently. As you progress, you will engage with real-world coding problems on platforms like Leetcode, solving challenges related to arrays, trees, and binary search. You’ll explore algorithms such as the sliding window method, two-pointer approach, and binary search over both sorted arrays and ranges. With the aid of Python, you’ll implement key data structures and refine your skills through hands-on practice. This course is ideal for learners who want to elevate their understanding of data structures and algorithms and become more proficient in solving algorithmic problems. The material is structured to gradually build your knowledge, providing both theoretical insights and practical coding experience. By the end of the course, you will be able to confidently apply advanced algorithms and data structures to solve complex problems efficiently, implement binary search and tree traversal techniques, and use stacks and queues in real-world applications.