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DSA

Become Strong in Coding and Problem Solving in 2 Months

2 Months
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Course Overview

This DSA course is designed for students, freshers, career switchers, and working professionals who want to sharpen their coding logic, master problem-solving techniques, and excel in technical interviews. Over 2 focused months you build a foundation in data structures and algorithms, learning core structures, essential algorithms, time and space complexity, coding patterns, and interview-style problems.

What You Will Learn

  • Programming logic and dry run technique
  • Time and space complexity analysis
  • Recursion and backtracking fundamentals
  • Arrays, Strings, Linked List, Stack, and Queue
  • Searching and sorting algorithms
  • Trees, BST, Heap, and Graph basics (BFS & DFS)
  • Hashing and pattern-based coding strategies
  • Mock coding practice and interview preparation

Who Is This For

  • Students & Freshers building coding fundamentals
  • Java / Python / JS Learners applying DSA in their preferred language
  • Career Switchers & Professionals strengthening technical skills

Topics Covered

Basics

  • Programming logic & dry run
  • Time & space complexity
  • Recursion fundamentals
  • Problem-solving approach

Linear DS

  • Arrays & Strings
  • Linked List
  • Stack
  • Queue

Non-Linear DS

  • Binary Tree & BST
  • Heap basics
  • Graph representation
  • BFS & DFS basics

Algorithms

  • Searching & Sorting
  • Two Pointer & Sliding Window
  • Hashing & Recursion
  • Backtracking basics

Course Modules

01

Module 1: DSA Fundamentals

Logic building, dry run technique, complexity analysis, and problem-solving approach.

02

Module 2: Arrays & Strings

Array operations, string problems, two pointer, sliding window, and hashing patterns.

03

Module 3: Linked List, Stack & Queue

Singly linked list, stack operations, queue operations, and real-time problem solving.

04

Module 4: Searching & Sorting

Linear and binary search, bubble/selection/insertion/merge sort fundamentals.

05

Module 5: Trees & Graph Basics

Binary tree, BST, traversal techniques, graph representation, BFS and DFS.

06

Module 6: Interview Preparation

Coding patterns, common interview questions, mock coding practice, and resume project explanation.

Career Outcomes

  • Interview-ready problem solver able to tackle technical rounds
  • Better coding logic and algorithmic thinking
  • Career-ready skills for developer roles and software jobs

Ready to start DSA?

Book a free demo class and talk to our mentors about batches, fees, and placement support.