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Data Structures
Organise and manage data for efficient computing solutions.
Topics
Exam‑style questions with instant feedback.
Section 1: Introduction
Section 2: Arrays & Lists
Section 3: Stacks & Queues
Section 4: Trees
Section 5: Balanced Trees
Section 6: Heaps
Section 7: Hashing
Section 8: Graphs
Section 9: Advanced Graphs
Section 10: Tries & Sets
What you’ll achieve
Learn the fundamentals of arrays, linked lists, and stacks.
Explore advanced structures like trees, heaps, and graphs.
Understand time and space complexity of data storage and access.
Gain hands-on experience implementing data structures in code.
Build a strong foundation for algorithms, databases, and software design.
Course overview
Everything you need to excel in Data Structures
Data Structures form the foundation of computer science, focusing on ways to store, access, and manipulate data. This course introduces essential structures such as arrays, linked lists, stacks, queues, trees, heaps, hash tables, and graphs. Students will learn how to choose the right data structure for a problem, analyse performance, and implement solutions in code. With applications in software development, databases, and algorithms, mastering data structures is crucial for efficient and scalable computing.
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