Classroom Program

Data Structure and Algorithm

Master Arrays, Strings, Recursion, Backtracking, Searching, Sorting, Linked Lists, Stacks, Queues, Trees, BST, Heaps, Hashing, Graphs, Greedy, Dynamic Programming, Advanced DS & Complexity Analysis – Build Strong Problem‑Solving Skills for Coding Interviews and Competitive Programming

4.9 ★ (2.5k+ ratings)
5k+ students enrolled
6 Months
Mohammad Shahid

Mohammad Shahid

Full Stack Developer & AI Expert | Software Engineer | 5+ Years Teaching Experience

Overview

About This Classroom Program

This Data Structures and Algorithms (DSA) course is a career-focused program designed to take you from absolute beginner to a skilled problem solver capable of writing efficient code, mastering fundamental and advanced data structures, and cracking coding interviews at top tech companies.

6 Months

Program Duration

25

Class Size

Flexible

Batch Options

On‑Campus

Location

What You'll Learn

  • Understand time and space complexity analysis using Big O notation
  • Master arrays, strings, and two-pointer techniques
  • Implement recursion and backtracking for complex problems
  • Use searching algorithms (binary search, ternary search) and sorting algorithms (merge sort, quick sort, counting sort)
  • Build and manipulate linked lists (singly, doubly, circular)
  • Work with stacks and queues for real-world applications
  • Master trees including binary trees, BST, AVL, and tree traversals
  • Implement heaps and priority queues for efficient data retrieval
  • Understand hashing and hash tables for fast lookups
  • Solve graph problems using BFS, DFS, Dijkstra, and MST algorithms
  • Apply greedy algorithms and dynamic programming for optimization
  • Work with advanced data structures like Trie, Segment Tree, Fenwick Tree, and Union-Find
  • Solve 100+ coding problems and practice on platforms like LeetCode, CodeChef, and HackerRank
  • Crack coding interviews with confidence

Prerequisites

  • Basic computer knowledge
  • No prior programming experience required
  • A computer with internet connection (4GB+ RAM recommended)
  • Eagerness to learn and build projects
Curriculum

Classroom Session Plan

Hands‑on, in‑person sessions led by expert instructors

Why Classroom?

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.

Admission

How to Join

1

Fill Inquiry

Submit your interest via the form

2

Counseling & Assessment

Get guidance and take a skills assessment

3

Enroll & Start

Complete admission and begin your journey

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