Master Data Structures & Algorithms with Python
Master Data Structures and Algorithms using Python 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 (Python) | 5+ Years Teaching Experience
About This Classroom Program
This comprehensive Data Structures and Algorithms (DSA) course using Python is designed to take you from absolute beginner to a skilled problem solver. Master lists, tuples, dictionaries, strings, linked lists, stacks, queues, trees (BST, heaps), graphs (BFS, DFS, shortest path, MST), searching, sorting, recursion, backtracking, greedy, and dynamic programming. Leverage Python's built-in data structures and understand complexity analysis. Solve 100+ coding problems and build real-world projects to ace interviews and competitive programming.
Program Duration
Class Size
Batch Options
Location
What You'll Learn
- Understand time and space complexity analysis (Big O notation)
- Master Python lists, tuples, sets, dictionaries, and strings
- Implement singly, doubly, and circular linked lists
- Build stacks, queues, and deques using lists and collections.deque
- Work with trees: binary trees, BST, heaps, and traversals
- Implement graph algorithms: BFS, DFS, Dijkstra, Floyd-Warshall, Prim's, Kruskal's
- Master searching: linear, binary, ternary search
- Implement sorting: bubble, selection, insertion, merge, quick, counting, radix
- Apply recursion and backtracking (N-Queens, Sudoku, permutations)
- Use greedy algorithms (activity selection, Huffman coding)
- Understand dynamic programming (knapsack, LCS, edit distance, matrix chain)
- Leverage Python libraries: collections, heapq, bisect, itertools
- Solve 100+ coding problems on LeetCode, HackerRank, CodeChef
- Build two projects: Library Management System and Student Record System
Prerequisites
- Basic computer knowledge
- No prior programming experience required (Python taught from scratch)
- A computer with Python 3.x and any IDE (VS Code, PyCharm) and internet
- 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
Enroll & Start
Complete admission and begin your journey
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