DSA Mastery for Interviews
Complexity, arrays, trees, graphs and DP — the patterns that clear OAs and technical rounds
Data structures and algorithms remain the single highest-leverage filter in engineering hiring. This course teaches the patterns interviewers actually use, not a tour of every exotic structure: Big-O fluency and constraint budgets, two pointers and sliding windows, hashing and monotonic stacks, linked-list surgery, trees and BSTs, heaps and greedy proofs, graph templates (BFS, DFS, Dijkstra, topological sort), and a dynamic-programming recipe that turns "hard" problems into state-recurrence work. A final lesson covers the 45-minute interview conversation itself — clarify, example, brute force, optimize, code, test.
Four modules, eight lessons on the nine-step standard: objective, hook, concept, worked example, practice, common mistakes, exam angle, server-graded quiz and revision summary. A 30-question bank feeds the timed final; passing earns a verifiable TieEdu certificate.
Who this is for: students preparing for campus placements, off-campus OAs and interviews at product and service companies. Assumes you can write basic code in any language; every pattern is shown with complexity and edge cases called out.
What you need: a language you can code in during practice. No prior competitive programming is required.
What you will be able to do
- Read constraints and pick the right complexity tier before c
- Apply two pointers and sliding windows to linear scan proble
- Solve frequency
- complement and grouping problems with hash maps
- Use stacks and the monotonic-stack template for next-greater
- Perform linked-list reversal
- cycle detection and merge with O(1) extra space
- Traverse and validate trees; answer LCA and BST-order questi
- Use heaps for top-k
- merge-k and running median; justify simple greedy proofs
- Implement BFS
- DFS
What is included
- 4 modules
- 8 lessons
- 1 hr 33 min of material
- Certificate on completion
₹219