DSA with Java

Master data structures and algorithms in Java — from arrays to dynamic programming. Crack coding interviews with confidence.

7 Weeks

Duration

Beginner+

Level

Live

Sessions

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Live Cohort

DSA with Java

₹4,00038% OFF
₹2,499

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Course Overview

Everything you will learn and accomplish in a structured 7-week programme.

What You'll Learn

  • Java Foundations & Object-Oriented Programming
  • Arrays, Strings & Collections Framework
  • Searching & Sorting Algorithms
  • Linked Lists, Stacks, Queues & Deques
  • Trees, BSTs, Heaps & Graphs
  • Greedy, Backtracking & Dynamic Programming

What You'll Achieve

  • Crack coding interviews at top companies
  • Solve 150+ LeetCode problems confidently
  • Think algorithmically about any problem
  • Strong Java programming foundation

Why choose this track?

Everything you need to ace coding interviews and build strong fundamentals.

Continuous Assignments
Doubt clearing sessions
Mock interviews
LeetCode-style problem solving

Course Curriculum

A weekly roadmap — from Java fundamentals and core data structures to advanced algorithms and interview prep.

  • Java Architecture (JDK, JRE, JVM)
  • Primitive Data Types & Variables
  • Loops, Operators & Control Flow
  • Introduction to OOP — Objects & Classes
  • Encapsulation & Access Modifiers
  • Polymorphism (Overloading & Overriding)
  • Inheritance & Class Hierarchy
  • Abstraction (Abstract Classes & Interfaces)
  • Arrays (1D, 2D, Jagged)
  • Strings & Memory Management
  • Static Keyword & Exception Handling
  • Collections Framework (List, Set, Map)
  • Introduction to DSA — time & space complexity
  • Basic Mathematics (digits, palindrome, GCD, primes)
  • Linear Search & Binary Search
  • First & last occurrence, floor/ceil, peak element
  • Search in a row-column-wise sorted array
  • Bubble Sort, Selection Sort, Insertion Sort
  • Merge Sort & Quick Sort (Lomuto & Hoare's partition)
  • Intersection & union of sorted arrays
  • Matrix operations — snake pattern, spiral traversal, rotation
  • Linked List — middle node, nth node, reverse, loop detection
  • Slow & Fast pointer technique
  • Stack — balanced parentheses, infix/postfix, two-stack array
  • Queue — array & linked list implementation
  • Implement stack using queue & vice versa
  • Deque — implementation & max of subarrays of size K
  • Recursion — factorial, fibonacci, subsequences, array max
  • Hashing — subset check, disjoint arrays, zero-sum subarray
  • Tree traversal (inorder, preorder, postorder, level order)
  • Height, maximum, left view & spiral form of binary tree
  • BST — min value, height, mirror, equality check
  • Lowest Common Ancestor
  • Heap implementation & heap sort
  • Kth largest / smallest / closest element
  • Merge K sorted arrays
  • Graph representation — directed vs undirected
  • BFS & DFS traversal
  • Number of islands & shortest path (unweighted)
  • Greedy — activity selection, fractional knapsack, job sequencing
  • Backtracking — rat in a maze, N-Queens, Sudoku
  • DP — memoization vs tabulation
  • 0-1 Knapsack & its variations
  • Longest Common Subsequence & variations
  • Mock interview practice & problem-solving strategy
  • 🚀 LeetCode Top Interview 150 guided practice
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DSA with Java7 Weeks

Starting at ₹4,000₹2,499