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Data Structures & Algorithms
Improve problem solving with essential data structures, algorithms and interview-style coding practice.
Admissions Open
₹17,999 Indicative fee — update before production launch
Duration10 Weeks
FormatOnline / Classroom
LevelIntermediate
ScheduleWeekday / Weekend batches
Course overview
Develop algorithmic thinking and learn how to choose efficient data structures. The course covers complexity analysis, arrays, linked lists, stacks, queues, hash maps, trees, graphs, sorting, searching, recursion and dynamic programming foundations.
What you will be able to do
✓Analyse time and space complexity
✓Implement core data structures
✓Solve common algorithmic patterns
✓Work with trees and graphs
✓Approach coding interviews systematically
Curriculum
Complexity & Arrays2 Weeks
Big-O analysis
Arrays and strings
Two-pointer and sliding-window patterns
Linear Data Structures2 Weeks
Linked lists
Stacks and queues
Hash maps
Trees & Heaps2 Weeks
Binary trees
BSTs
Priority queues and heaps
Graphs & Recursion2 Weeks
DFS and BFS
Graph representations
Backtracking
Algorithms & Interview Practice2 Weeks
Sorting and searching
Greedy and dynamic programming basics
Timed coding practice
Projects you can build
Algorithm Practice Portfolio
A curated set of solved and explained problems across key patterns.
Route Finder
Graph-based route finding project using BFS/DFS or shortest-path concepts.
Frequently asked questions
Do I need prior experience?
The entry requirement depends on the course level. Beginner courses start from fundamentals; intermediate tracks expect basic programming or domain knowledge.
Will I build projects?
Yes. Every course includes practical labs and one or more projects designed to help you demonstrate the skills you learn.
Is a certificate included?
Yes. A completion certificate can be issued after meeting attendance, assessment and project requirements.
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