Master Data Structures & Algorithms with C
Master Data Structures and Algorithms using C from basics to advanced: arrays, linked lists, stacks, queues, trees, graphs, searching, sorting, recursion, dynamic programming, and more. Build efficient programs and crack coding interviews.
Mohammad Shahid
Full Stack Developer & AI Expert | DSA Specialist | 5+ Years Teaching Experience
About This Classroom Program
This comprehensive Data Structures and Algorithms (DSA) course using C is designed to take you from absolute beginner to a skilled problem solver capable of writing efficient, optimized code. You will master fundamental and advanced data structures such as arrays, strings, linked lists (singly, doubly, circular), stacks, queues, trees (binary trees, BST, AVL, heaps), graphs (BFS, DFS, shortest path, MST), and advanced algorithms including searching (binary search), sorting (merge sort, quick sort, counting sort), recursion, backtracking, greedy algorithms, and dynamic programming. You will also learn complexity analysis (Big O notation) and implement everything in C. With 100+ coding problems and two real-world projects, you'll be well-prepared for coding interviews and competitive programming.
Program Duration
Class Size
Batch Options
Location
What You'll Learn
- Understand time and space complexity analysis using Big O notation
- Master arrays and strings with two-pointer techniques
- Implement singly, doubly, and circular linked lists
- Build stacks and queues using arrays and linked lists
- Work with trees: binary trees, BST, AVL, heap, and tree traversals (inorder, preorder, postorder, level order)
- Implement graph algorithms: BFS, DFS, Dijkstra, Floyd-Warshall, MST (Prim's, Kruskal's)
- Master searching algorithms: linear search, binary search, ternary search
- Implement sorting algorithms: bubble, selection, insertion, merge, quick, counting, radix
- Apply recursion and backtracking (N-Queens, Sudoku, permutations)
- Use greedy algorithms for optimization problems (activity selection, Huffman coding)
- Understand dynamic programming with memoization and tabulation (knapsack, LCS, edit distance, matrix chain multiplication)
- Work with hashing and hash tables
- Solve 100+ coding problems on platforms like LeetCode, HackerRank, CodeChef
- Build two complete projects: Library Management System and Student Record System using DSA concepts
Prerequisites
- Basic computer knowledge
- No prior programming experience required (C will be taught from scratch)
- A computer with C compiler (GCC/CodeBlocks/DevC++) and internet connection
- Eagerness to learn and solve problems
Classroom Session Plan
Hands‑on, in‑person sessions led by expert instructors
Why Choose In‑Person Learning?
Peer Collaboration
Work in groups, share ideas, and learn from diverse perspectives.
Instant Doubt Resolution
Get real‑time answers from instructors and peers.
Campus Experience
State‑of‑the‑art labs, dedicated study spaces, and networking.
How to Join
Fill Inquiry
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Counseling & Assessment
Get guidance and take a skills assessment
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