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This course builds on a good framework in algorithm analysis by slowly adding array and list manipulation, tree and graph traversal techniques and advanced sorting and searching methods. You will learn how to select the best data structure for a given problem, understand its benefits and drawbacks, and build solutions that perform best in both theoretical and practical scenarios. By the end of this course, you will be proficient in developing and implementing complicated algorithms and data structures in Java and will be ready to take on large-scale programming tasks.
Topics Covered:
- Algorithm Analysis & Big O: Grasp time and space complexity through Big O, Big Theta and Big Omega notation.
- Arrays & Strings: Work with dynamic arrays, multidimensional arrays, sliding windows and string manipulation techniques.
- Linked Lists: Understand singly, doubly and circular linked lists, perform insertion, deletion, reversal and cycle detection.
- Stacks & Queues: Implement stack-based and queue-based structures and handle typical applications like parentheses balancing and task scheduling.
- Hash Tables & Sets: Build custom hash maps and hash sets; understand collision resolution, load factors and hash functions.
- Trees & Binary Search Trees (BSTs): Dive into tree traversal algorithms, insertion/deletion in BSTs, tree balancing and use cases like expression parsing.
- Heaps & Priority Queues: Learn binary heaps, heap sort, D‑ary heaps and applications including scheduling and Dijkstra’s algorithm.
- And many more topics to explore.
Who Should Take This Course:
- Java Developers aiming to deepen their algorithmic understanding and boost their technical skills.
- Students & Graduates preparing for coding interviews at companies like Google, Amazon or Microsoft.
- Software Engineers looking to write high-performance, scalable code in real-world applications.
- Self-Learners & Enthusiasts keen to master computer science fundamentals and efficient coding techniques.
Why Take This Course:
This course provides a complete, organized and practical study of the most significant data structures and algorithms used in software development today. It closes the gap between theory and practice by focusing on implementation, complexity analysis and problem solving. You will get to learn excellent coding skills, better performance thinking, the courage to face difficult programming interviews and construct solid software systems. Whether you want to make progress in your technical career or improve your skills as a developer, this course will provide you the plan and practice you need to succeed.
