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Self-paced Advanced

Data Structure And Algorithms

A comprehensive study of fundamental data structures and algorithmic problem-solving techniques to write efficient, optimized, and scalable software.

10 Weeks Verified certificate

What you'll learn

  • Asymptotic Analysis: Evaluate and optimize the time and space complexity of code using Big O notation.
  • Core Data Structures: Implement, traverse, and manipulate linear and non-linear data structures from scratch (Linked Lists, Stacks, Queues, Hash Maps, Trees, Graphs).
  • Sorting & Searching: Master classic algorithms like Binary Search, Merge Sort, Quick Sort, and Breadth-First/Depth-First Search (BFS/DFS).
  • Algorithmic Paradigms: Apply advanced problem-solving strategies, including recursion, two-pointer techniques, sliding windows, and dynamic programming basics.
  • Optimized Problem-Solving: Translate real-world scenarios or complex requirements into clean, memory-efficient, and fast computational solutions.

Course content

The full curriculum is being finalised. Contact us for the syllabus.

About this course

Dive into the core mechanics of computer science by mastering Data Structures and Algorithms (DSA). This course explores how data is organized, stored, and retrieved efficiently, alongside the strategies used to solve complex computational problems. You will examine linear and non-linear structures—such as arrays, linked lists, stacks, queues, hash tables, trees, and graphs—and learn to analyze their performance using Big O notation. Through hands-on coding and algorithmic puzzles, you will build the analytical mindset required to write high-performance code and ace technical interviews.

Learn anywhere

Phone, tablet or laptop. Pick up exactly where you left off.

Hands-on practice

Quizzes, coding exercises and projects marked by instructors.

Verified certificate

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