Tech IT SolutionData Structures & Algorithms
Crack coding interviews & build efficient software — Master core DSA concepts, problem-solving patterns, and competitive programming techniques
Why join this course
DSA is the key to cracking coding interviews and writing efficient software. Learn to analyze complexity and master arrays, linked lists, trees, graphs, dynamic programming and problem-solving patterns.
Job-relevant stack
Learn Big-O, arrays, trees, graphs and dynamic programming, the tools teams actually hire for.
Build real projects
Every module ends with hands-on work that goes into your portfolio.
Professional workflow
Git, GitHub, debugging and deployment practices used on real teams.
Interview focused
Patterns and practice used in technical interviews.
By the end you will be able to
- Time & Space Complexity (Big-O, Analysis)
- Arrays, Strings, Linked Lists, Stacks & Queues
- Trees, Binary Search Trees, Heaps & Hashing
- Graphs, BFS, DFS, Shortest Paths & Topological Sort
- Dynamic Programming, Greedy, Backtracking & Divide & Conquer
- Advanced Topics: Trie, Segment Tree, Bit Manipulation
- 300+ Coding Problems (LeetCode, Codeforces style) & Mock Interviews
Who is this course for?
Add a job-ready skill next to your degree or diploma.
Upskill for a promotion, a better role or a career switch.
Use these skills to deliver client work or run your own business better.
Curriculum overview
5 modules, explained in detail. Open a module to see exactly what is inside.
1Foundations & Complexity Analysis6 topics
Understand complexity analysis, Big-O and how to reason about efficiency.
What is inside
- Asymptotic notation (Big-O, Omega, Theta)
- Best/average/worst case
- Time & space complexity analysis
- Recursion basics
- Master theorem
- Amortized analysis
2Linear Data Structures5 topics
Linear structures: arrays, strings, linked lists, stacks and queues.
What is inside
- Arrays & strings (two-pointer, sliding window)
- Linked lists (singly/doubly/circular)
- Stacks (monotonic, next greater)
- Queues & deques
- Hashing (hash tables, collision resolution, hash maps in depth)
3Non-Linear Data Structures6 topics
Non-linear structures: trees, BSTs, heaps and tries.
What is inside
- Binary trees
- Binary search trees (BST)
- AVL trees intro
- Heaps (binary heap, priority queue)
- Tries (prefix tree)
- Segment trees & fenwick tree basics
4Graphs & Graph Algorithms7 topics
Graphs and graph algorithms: BFS, DFS, shortest paths and more.
What is inside
- Graph representation (adjacency list/matrix)
- BFS & DFS
- Cycle detection
- Shortest path (Dijkstra, Bellman-Ford, Floyd-Warshall)
- Minimum spanning tree (Kruskal, Prim)
- Topological sort
- Strongly connected components
5Algorithmic Paradigms & Advanced Problem Solving8 topics
Sorting, searching, recursion, backtracking and dynamic programming.
What is inside
- Sorting & searching (quick, merge, heap sort)
- Binary search applications
- Greedy algorithms
- Backtracking (subsets, permutations, N-Queens)
- Dynamic programming (1D, 2D, state compression, knapsack, LCS)
- Bit manipulation tricks
- 300+ curated problems
- Mock interviews & contest strategies
What you will build
Real work for your portfolio, not just exercises.
100-problem practice set
Curated problems across patterns.
Custom data structure library
Implement core structures from scratch.
Mock interview rounds
Timed problems with feedback.
Tools you will use
How you will learn
Career outcomes
Roles this course prepares you for:
- Resume & LinkedIn profile building
- Portfolio and project review
- Mock interviews with IT leads
- Hiring-partner drives and referrals
Certificate, batches & details
W Tech Course Completion Certificate
Issued after you pass the final evaluation of the course.
Flexible batches
Morning, afternoon, evening and weekend batches. Classroom at GTB Nagar or live online.
Course at a glance
| Duration | 6 months |
|---|---|
| Level | Beginner to Advanced |
| Mode | Classroom (GTB Nagar, Delhi) & live online |
| Teaching format | Live Sessions |
| Prerequisites | No prior experience needed. We start from the basics and build up step by step. |
| Batches | Weekday morning / afternoon / evening & weekend |
| Certificate | W Tech Course Completion Certificate |
| Fees | Call or WhatsApp for the current fee · EMI options available |
Frequently asked questions
Who can join Data Structures & Algorithms?
No prior experience needed. We start from the basics and build up step by step. Students, graduates, job seekers and working professionals are all welcome.
How long is the course and what are the batch timings?
The course runs for 6 months. We run weekday morning, afternoon and evening batches plus weekend batches for college students and working professionals.
Are classes online or in the classroom?
Both. Attend live in our GTB Nagar (Delhi) classroom or join live instructor-led online classes from anywhere in India. Sessions are recorded, and you can switch between modes.
What certificate will I receive?
W Tech Course Completion Certificate, awarded after you pass the final evaluation.
Will I work on real projects?
Yes. Most of the training is hands-on labs and guided projects, and you finish with work you can show in your portfolio.
What jobs can I apply for after this course?
Typical roles include Software Engineer, Backend Developer, Interview-ready Fresher. Your outcome depends on your skills, portfolio and interview performance, and our placement team supports you at every step.
Do you help with placement?
Yes. We help with resume and LinkedIn profiles, portfolio review, mock interviews and hiring-partner drives. This is placement assistance, not a job guarantee.
What is the fee, and is EMI available?
Fees depend on the batch and mode. Call or WhatsApp us for the current fee and flexible EMI / installment options.
Can I attend a free demo class first?
Yes. Book a free demo class to meet the mentors and see how the training works before you enrol.
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