Data Structures & Algorithms in Java + 150 Leetcode Problems

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. Mastering advanced algorithms is essential for solving complex problems in real-world applications. In this course, you’ll dive deep into critical concepts such as dynamic programming, graph theory, heap operations, and bit manipulation techniques. Each section builds on your knowledge, ensuring a comprehensive understanding that will be indispensable in interviews, competitive programming, and everyday coding tasks. The course begins by introducing heaps, providing hands-on lessons on implementing heaps, inserting and deleting elements, and solving problems like finding the kth largest element in an array. From there, you'll move to dynamic programming, tackling classical problems such as "Climbing Stairs," "Coin Change," and "Longest Common Subsequence," learning the techniques to optimize recursive algorithms with memorization and tabulation. You’ll also explore graph algorithms including BFS, DFS, Dijkstra's, and Bellman-Ford for shortest path solutions, as well as Minimum Spanning Trees with Prim’s Algorithm. Designed for anyone looking to deepen their algorithmic knowledge, this course is suitable for intermediate learners with a basic understanding of data structures. No prior experience with dynamic programming or advanced graph algorithms is required, but a solid grasp of programming basics will be beneficial. By the end of the course, you will be able to efficiently solve complex problems using dynamic programming, implement advanced graph algorithms, and apply heaps to optimize your solutions. You’ll also gain hands-on experience with Leetcode-style problems that are frequently encountered in technical interviews.

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'll dive into advanced data structures and algorithms that are essential for solving complex problems. From sliding window techniques to binary search, you'll gain deep insights into optimized methods for problem-solving. By focusing on patterns such as two pointers, recursion, and backtracking, you will build a solid foundation for tackling a wide range of coding challenges. As you progress, you will learn how to implement these techniques efficiently and effectively, ensuring that your problem-solving skills are sharpened for real-world applications. The course is structured around various problem-solving methods. It starts with array patterns like the sliding window and two-pointer techniques, followed by binary search applications over rotated arrays and ranges. The course wraps up with recursion and backtracking, utilizing Leetcode problems to solidify your understanding. You will be guided through each topic with video tutorials and practical exercises that reinforce the key concepts. This course is ideal for individuals who are familiar with basic data structures and algorithms and are looking to elevate their coding abilities. It's perfect for anyone preparing for technical interviews or aiming to deepen their knowledge of algorithmic problem-solving. With an intermediate difficulty level, the course requires familiarity with Java and basic algorithmic concepts. By the end of the course, you will be able to implement advanced data structures and algorithms to solve complex problems, optimize solutions using common techniques, and apply recursion and backtracking to solve challenging coding tasks efficiently.