Ready to crack coding interviews and write efficient code? Our DSA with Java course equips you with all the essential tools to become a confident problem solver.
From mastering fundamental data structures like Arrays, Linked Lists, and Trees to diving deep into advanced algorithms like Dynamic Programming and Graphs, you'll gain the practical skills needed to tackle any coding challenge.
This course is beginner-friendly and tailored to help freshers and aspiring developers become proficient in DSA with real-world Java coding examples.
What you'll learn
This curriculum designed by Industry expert for you to become a next industry expert. Here you will not only learn, you will implement your learnings in real time projects.
Month 1 - Core Java Essentials
4 Weeks
We will begin our DSA journey by learning the fundamentals of Java programming.
OOPs Concepts
Classes and Objects
Data Types and Variables
Operators and Control Flow
Loops and Switch
Methods and Constructors
Arrays and Strings
Encapsulation and Inheritance
Object-Oriented Programming in Depth:
Polymorphism and Abstraction in real-world programming.
Exception Handling and Custom Exceptions.
Static, Final, and this Keyword.
Java Utility and Collections:
Understanding Wrapper Classes.
Java Collection Framework - List, Set, Map, Queue.
Generics and Iterators.
This section ensures your Java fundamentals are strong enough to tackle Data Structures and Algorithms efficiently.
Month 2 - Introduction to Data Structures & Algorithms in Java
4 Weeks
This month is dedicated to understanding the building blocks of data structures and learning essential algorithms like searching and sorting in Java.
Time & Space Complexity
Linear Search
Binary Search
Bubble Sort
Selection Sort
Insertion Sort
Arrays
2D Arrays
Linked Lists
Stacks
Queues
Deque
Essential Algorithms:
Implementing Linear & Binary Search in Java.
Mastering Bubble Sort, Selection Sort, and Insertion Sort with dry runs and code walkthroughs.
Deep Dive Into Linear Data Structures:
Singly & Doubly Linked List Implementation.
Stack Implementation using Array and Linked List.
Circular Queue and Priority Queue Basics.
Application-Based Learning:
Solving real-world problems using Stack & Queue.
Handling dynamic input and data manipulation efficiently.
By the end of this section, you'll have a solid grasp on core searching/sorting algorithms and a strong grip on linear data structures with practical Java implementations.
Month 3 - Trees, Graphs & Hashing
4 Weeks
This section focuses on non-linear data structures, crucial for interviews and problem-solving in real-world applications.
Binary Tree
Binary Search Tree
AVL Tree
Graph Representations
BFS & DFS
HashMap
HashSet
Collision Handling
Key Concepts You’ll Master:
Tree traversals: Inorder, Preorder, Postorder (Recursion + Iteration).
Graph implementation using Adjacency Matrix & List.
Traversal algorithms – BFS and DFS for graphs & trees.
Building and managing HashTables and handling collisions.
Implementing HashMap from scratch in Java.
You’ll build the foundation needed to implement and analyze real-world applications using tree-based and graph-based logic
Month 4 - Recursion & Backtracking
4 Weeks
Master the powerful concepts of recursion and solve advanced problems using backtracking techniques.
Recursion Basics
Tail Recursion
Backtracking Problems
Subsets & Combinations
Sudoku Solver
N-Queens
Rat in a Maze
Knight’s Tour
Key Concepts You’ll Master:
Understanding how recursion works under the hood (call stack, frames).
Building recursive functions with multiple decision branches.
Optimizing recursion using tail calls and memoization intro.
Solving classic backtracking problems (N-Queens, Maze path).
This section strengthens your problem-solving skills and prepares you for more complex algorithmic challenges.
Month 5 - Dynamic Programming & Optimization
4 Weeks
Unlock the ultimate tool for solving complex problems efficiently – Dynamic Programming. Learn to break problems into subproblems, optimize recursive solutions, and ace interviews!
Introduction to DP
Memoization
Tabulation
Fibonacci Variants
Knapsack Problems
Longest Common Subsequence
Matrix Chain Multiplication
DP on Trees
Key Concepts You’ll Master:
Understanding the two core approaches – top-down (memoization) and bottom-up (tabulation).
Solving a variety of DP patterns – 0/1 Knapsack, LCS, LIS, etc.
Identifying overlapping subproblems and optimal substructure properties in real-world problems.
Writing efficient, optimized Java code for interview-ready solutions.
With Dynamic Programming in your toolkit, you'll be equipped to solve even the toughest coding challenges with confidence and clarity.
Program Fees
6,000
(incl. taxes)
If you will join in a group, complete group will get discount.
You can pay your fee in easy installment's. For more details you can connect with our team.
Meet Your Instructors
You will learn with industry expertes.
Prateek Mishra
CTO & Sr. TrainerEx -
About Your Mentor
Meet our highly experienced and dedicated manager. Having trained 5K+ students and conducted 200+ sessions in colleges. With a passion for teaching and a knack for inspiring students, he ensures personalized guidance for every individual.