Offline Career Track
Beginner to Advanced
12 Weeks
Data Structures & Algorithms
Master problem solving, coding patterns, and interview-focused DSA in C, Java, or Python through an intensive offline classroom and lab-driven track.
Batch starting soon
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WHO THIS IS FOR
College studentsPlacement aspirantsDevelopers improving problem solving
Arrays & Strings
Recursion
Linked Lists
Trees & Graphs
Dynamic Programming
Interview Prep
Course Outline
Curriculum Timeline
Each stage connects teaching, lab work, assignments, and doubt resolution so students can keep moving with direct classroom support.
Module 1
Complexity, Arrays & Strings
- Time and space complexity, dry runs, and logic tracing
- Arrays, strings, two pointers, sliding window, and prefix patterns
- Searching, sorting basics, and problem decomposition
- Language-neutral thinking in C, Java, or Python
Module 2
Recursion, Backtracking & Linked Lists
- Recursion fundamentals, stack thinking, and trace technique
- Backtracking basics and pattern recognition
- Singly, doubly, circular linked lists and operations
- Mini problem sets focused on implementation clarity
Module 3
Stacks, Queues, Hashing & Trees
- Stacks, queues, deque, priority queue, hashing, and maps
- Trees, binary trees, BST, traversal patterns, and recursion on trees
- Heap basics and priority-driven problems
- Use pattern-based thinking to solve data structure problems
Module 4
Graphs & Advanced Structures
- Graph representation, BFS, DFS, and traversal patterns
- Topological sort, shortest path basics, and union-find
- Tries and advanced structure awareness
- Design solutions using state, visited, and path thinking
Module 5
Dynamic Programming & Greedy
- Greedy strategy and proof intuition
- DP basics: memoization, tabulation, and state definition
- Classic DP problem families and transition design
- Build confidence through repeated pattern mapping
Module 6
Interview Readiness & Revision
- Mixed problem sets, revision roadmaps, and contest habits
- Mock interview style explanations and whiteboard thinking
- Optimize brute force into better solutions
- Prepare for placements, coding rounds, and DSA-heavy interviews
Who this course is for
The Logic Behind Top Tech Roles
Placement Seekers
Competitive Coders
Product Company Aspirants
Engineering Students
After this course, you can
Think Deep. Code Efficiently.
Solve complex coding patterns
Master Array, Tree & Graph logic
Optimize for Time & Space
Crack technical coding rounds
Skills you'll master
Tools & Tech You'll Work With
C / Java / Python
Problem solving sheets
Whiteboard practice
Online judges
Interview Patterns (Grokking)
Daily Coding Labs
Mock Interviews
Time Complexity Focus
Placement Support
Interview Patterns (Grokking)
Daily Coding Labs
Mock Interviews
Time Complexity Focus
Placement Support
Batch seats are limited