Data Structures & Algorithms Classes in Pune with Placement Assistance
Master advanced data structures, algorithmic paradigms, time-space complexity, and problem-solving techniques at CJC EdTech by Kunal Sir.
Gain hands-on expertise in linear and non-linear data structures, sorting/searching algorithms, dynamic programming, graph theory, and coding interview preparation with live projects and lifetime placement support.
Free Career Counselling
Learning Journey
A structured, mentor-led pathway designed to transform beginners into industry-ready Software Engineers and Product-Based Company Candidates.
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Complexity & Arrays
Big-O notation, time-space analysis, arrays, strings & two-pointer techniques
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Linear Data Structures
Linked lists, stacks, queues, sliding window & prefix sum patterns
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Trees & Heaps
Binary trees, BSTs, priority queues, heaps & recursion patterns
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Graphs & DP
Graph traversals, shortest paths, dynamic programming & greedy algorithms
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Interviews & Placement
Mock coding rounds, LeetCode patterns, system design & hiring drives
Data Structures & Algorithms Master Syllabus
From absolute time-space complexity and foundational linear data structures to advanced trees, graphs, dynamic programming, and product company interview patterns.
- Introduction to Data Structures & Algorithms (DSA)
- Asymptotic Notations (Big-O, Omega, Theta)
- Time and Space Complexity Calculation
- Mathematical Foundations & Recurrence Relations
- Arrays Memory Layout & Static vs Dynamic Arrays
- Two-Pointer Technique & Sliding Window Pattern
- Prefix Sum and Subarray Sum Problems
- Bit Manipulation Basics and Interview Tricks
- Bubble, Selection, and Insertion Sort
- Merge Sort and Quick Sort Algorithms
- Count Sort, Radix Sort & Bucket Sort
- Linear Search and Binary Search Fundamentals
- Binary Search on Answer Space (Advanced Patterns)
- Bitwise Operators & Bit Manipulation Tricks
- Finding Single Numbers, Subsets, and Power Sets
- Mathematical Algorithms (GCD, Prime Sieve, Modular Arithmetic)
- Introduction to Memory Allocation & Pointers
- Singly Linked List Implementation & Traversal
- Insertion and Deletion at Various Positions
- Reversing a Linked List (Iterative & Recursive)
- Detecting and Removing Loops (Floyd's Cycle-Finding Algorithm)
- Finding Middle Element & N-th Node from End
- Doubly Linked Lists & Circular Linked Lists
- Merge Two Sorted Lists & LRU Cache Design Basics
- Stack Data Structure & LIFO Principle
- Implementing Stack Using Arrays and Linked Lists
- Balanced Parentheses & Expression Evaluation
- Infix, Prefix, and Postfix Conversions
- Next Greater Element & Stock Span Problem
- Queue Data Structure & FIFO Principle
- Circular Queue & Deque (Double-Ended Queue)
- Implementing Queue Using Stacks and Vice Versa
- Understanding Recursion Tree & Call Stack
- Classic Recursive Problems (Tower of Hanoi, Subsequences)
- Backtracking Paradigm Framework
- N-Queens Problem & Sudoku Solver
- Rat in a Maze & Permutations/Combinations
- Divide and Conquer Strategy
- Maximum Subarray Sum (Kadane's & Divide/Conquer)
- Inversion Count in Arrays
- Introduction to Hierarchical Data Structures
- Binary Tree Traversals (Preorder, Inorder, Postorder - Recursive & Iterative)
- Level Order Traversal & Zigzag Traversal
- Height, Diameter, and Balanced Binary Trees
- Binary Search Tree (BST) Insertion, Deletion & Search
- Validating BST & Lowest Common Ancestor (LCA)
- Morris Traversal (O(1) Space Complexity)
- AVL Trees & Self-Balancing Rotations
- Min Heap & Max Heap Properties & Array Representation
- Heapify Algorithm & Heap Sort
- Priority Queue STL & Top-K Frequent Elements
- Merge K Sorted Lists / Arrays
- Introduction to Hashing & Hash Functions
- Collision Resolution Techniques (Chaining & Open Addressing)
- Unordered Map / Set Problems (Two Sum, Subarray with Zero Sum)
- Longest Consecutive Sequence & Group Anagrams
- Graph Terminology & Representation (Matrix vs List)
- Breadth-First Search (BFS) & Applications
- Depth-First Search (DFS) & Applications
- Cycle Detection in Directed and Undirected Graphs
- Topological Sort (Kahn's Algorithm & DFS)
- Bipartite Graph Check & Connected Components
- Flood Fill & Number of Islands Problems
- Disjoint Set Union (DSU / Union-Find) Data Structure
- Shortest Path Algorithms (Dijkstra's, Bellman-Ford, Floyd-Warshall)
- Minimum Spanning Tree (Prim's and Kruskal's Algorithms)
- Kosaraju's Algorithm for Strongly Connected Components
- Bridge and Articulation Points in Graphs
- Greedy Choice Property & Optimal Substructure
- Activity Selection & N Meetings in One Room
- Fractional Knapsack & Job Sequencing Problem
- Huffman Coding Basics
- Introduction to Dynamic Programming (Memoization vs Tabulation)
- 1D DP Problems (Fibonacci, Climbing Stairs, House Robber)
- 2D/3D DP (Grid Traveller, Unique Paths, Minimum Path Sum)
- Knapsack Variants (0/1 Knapsack, Unbounded Knapsack, Subset Sum)
- String DP (Longest Common Subsequence, Edit Distance, Palindromic Substrings)
- Matrix Chain Multiplication (MCM) & Partition DP
- Longest Increasing Subsequence & Variations
- State Compression & DP Optimization Techniques
- Trie (Prefix Tree) Insertion, Search & Wildcard Matching
- Bitwise Trie & Maximum XOR Subarray
- Segment Trees (Range Sum Query & Point Updates)
- Lazy Propagation in Segment Trees
- Binary Indexed Tree (Fenwick Tree)
- String Matching Algorithms (KMP & Rabin-Karp)
- Disjoint Set Union Advanced Applications
- Heavy-Light Decomposition Basics
- Solving 300+ Curated LeetCode / GFG Problems
- Product-Based Company Interview Pattern Analysis
- Timed Online Assessment Practice Rounds
- Whiteboard Coding & Optimal Approach Explanation
- Behavioral & HR Interview Grooming
- Resume Optimization for Software Engineering Roles
- Live Mock Technical Interviews with Industry Experts
- Direct Placement Drives & Hiring Partner Referrals
Why Learn Data Structures at CJC EdTech?
- Interactive Online & Offline Batches in Pune
- Strong Grounding in Complexity Analysis & Problem Solving
- Industry-Standard LeetCode Pattern Training (300+ Problems)
- Real-Time Coding Practice across Top Product Companies
- Hands-on Trees, Graphs, DP & Advanced Data Structures
- Unlimited Technical Coding Mocks & Whiteboard Rounds
- Pocket-Friendly Programs with Lifetime Placement
- Stand Out with an Impressive DSA Master Certificate
Career Opportunities
After completing this course, you can apply for:
- Software Development Engineer (SDE-1) – up to ₹12 LPA
- Backend Software Engineer – up to ₹15 LPA
- Data Structures & Algorithms Trainer – up to ₹10 LPA
- Senior Software Engineer (SDE-2) – up to ₹22 LPA
- Principal Tech Lead – up to ₹35+ LPA
Why Choose Us
- Interactive Online & Offline Classroom Batches CJC EdTech
- Cutting-Edge Data Structures & Algorithms Curriculum CJC EdTech
- Multiple Problem-Solving Patterns & Coding Practice CJC EdTech
- Resume Building Session & Job Portals Optimisation CJC EdTech
- Specialized Soft Skills & Scenario-Based Interview Grooming CJC EdTech
- Direct Interview Calls Assistance & 1:1 Coding Mock Rounds CJC EdTech
- Specialized Pocket-Friendly Programs with Placement Assistance CJC EdTech
- Stand Out with an Impressive Industry-Recognized Certificate CJC EdTech
Career Services
Get ready for your dream software engineering job with comprehensive industry readiness training.
Online & Offline Flexibility
Live training through interactive online and classroom batches in Pune.
360° Knowledge Building
Hands-on algorithmic patterns and problem-solving techniques honed through extensive coding.
Industry-Relevant Syllabus
Modern DSA practices covering arrays, strings, trees, graphs, dynamic programming & greedy algorithms.
1:1 Dedicated Mentorship
Personalized code optimizations and individual algorithmic guidance by senior SDE leads.
Wide Range Of Tools & Modules Covered
- LeetCode
- GeeksforGeeks
- VS Code
- C++ / Java / Python
- Git & GitHub
- HackerRank
- Codeforces
- GDB Debugger
- Linux Terminal
- Big-O Complexity
- Two Pointers
- Sliding Window
- Recursion & Backtracking
- Dynamic Programming
- Trees & BST
- Graphs & DSU
- Heaps & Hashing
- Tries & Segment Trees
Batch Details
Upcoming Data Structures & Algorithms batches — book your seat now!
Data Structures Course Key Features
Complexity Analysis
Master Big-O notation, time-space trade-offs, and optimal code writing techniques.
300+ LeetCode Problems
Solve curated problem sets covering standard patterns asked in top tech interviews.
Trees, Graphs & DP
Conquer advanced topics like dynamic programming, graph traversals, and segment trees.
Mock Coding Interviews
Participate in timed assessment rounds and whiteboard interview practice with expert mentors.
Lifetime Placement Assistance
Dedicated career guidance, resume crafting, technical interview prep, and hiring partner referrals.
Real Product Problem Sets
Gain hands-on coding experience solving questions featured in FAANG and tier-1 product companies.
Dedicated Mentorship
Individual logic reviews, optimal solution walk-throughs, and 1:1 mentorship from senior software engineers.
Pattern-Based Learning
Recognize and solve over 20+ algorithmic coding patterns applicable to any unseen problem.
FAQs
Elevate Your Career to Engineering Excellence!
Unwrap comprehensive Data Structures and Algorithms capabilities & fast-track your tech career with CJC EdTech's complete DSA training program.
- Customized DSA Pathways
- Hands-on LeetCode Assessments
- Direct IT Recruitment Connects
