Java Programming WIth DSA
Start your journey into the world of programming and problem-solving with our expertly designed Java course. From learning the fundamentals of Java and object-oriented programming to mastering advanced Data Structures and Algorithms, you’ll gain the skills to write clean, efficient, and optimized code. Through hands-on coding exercises, real-world projects, and interview-focused problem sets, this program equips you to excel in competitive programming, crack technical interviews, and build a strong foundation for a successful career in software development and emerging technologies.
4 Months
.Duration
Virtual Live
Classes
100% Job
Assurance
Languages
English | Hindi
Course Highlights
Master Core Programming:
Build a strong foundation with Java fundamentals.
Data Structures & Algorithms (DSA)
Learn arrays, linked lists, stacks, queues, trees, graphs, hashing, heaps, and more.
Problem-Solving Skills:
Solve 300+ coding challenges and real-world problems.
Core Java & OOP Fundamentals
Build a strong base in Java syntax, object-oriented principles, and programming logic.
Master these Tools
Skills Covered
Time & Space Complexity Analysis
.
Competitive Programming Techniques
.
Debugging & Optimization
.
Coding Interview Readiness
.
Data Structures
.
Course Curriculum
Build strong foundations in Java, master Data Structures & Algorithms, sharpen problem-solving skills, and prepare for top tech interviews with projects & real-world practice.
Module 1: Introduction to Java Programming
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History & Features of Java
JVM, JDK, JRE
Installing Java & IDEs (IntelliJ, Eclipse, VS Code)
Writing, compiling & running programs
Variables, Data Types, Literals
Type Casting & Promotion
Operators in Java
Input/Output (Scanner, BufferedReader)
Command-line arguments
Module 2: Control Structures & Functions
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Conditional statements (if, switch)
Loops (for, while, do-while)
Break, continue, return
Methods & Method Overloading
Recursion (factorial, Fibonacci, Tower of Hanoi)
Variable scope (local, static, instance)
Pass by value in Java
Module 3: Object-Oriented Programming (OOP)
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Classes & Objects
Constructors (default, parameterized, copy)
this & super keywords
Inheritance & Polymorphism
Method Overriding
Abstraction (abstract classes, interfaces)
Encapsulation (getters, setters, access modifiers)
Static & final keywords
Object class methods (toString, equals, hashCode)
Inner Classes (member, local, anonymous)
Packages (built-in & user-defined)
Exception Handling (try, catch, finally, throw, throws)
Module 4: Java Collections Framework
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Arrays vs Collections
List (ArrayList, LinkedList, Vector, Stack)
Queue (PriorityQueue, Deque)
Set (HashSet, LinkedHashSet, TreeSet)
Map (HashMap, TreeMap, Hashtable)
Iterators & ListIterator
Comparable vs Comparator
Generics in Collections
Collections Utility Class
Module 5: Introduction to Data Structures & Algorithms
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Importance of DSA in programming & interviews
Time & Space Complexity (Big O, Big Ω, Big Θ)
Recursion – basics, tail recursion, recursion tree
Searching Algorithms
Linear Search
Binary Search (iterative & recursive)
Sorting Algorithms
Bubble Sort
Selection Sort
Insertion Sort
Merge Sort
Quick Sort
Heap Sort
Counting Sort
Radix Sort
Module 6: Linear Data Structures
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Arrays
Single & Multidimensional Arrays
Array rotation, prefix sum, sliding window problems
Strings
String handling, StringBuilder, StringBuffer
Palindrome, Anagrams, Substrings, Pattern matching (KMP, Rabin-Karp)
Linked Lists
Singly, Doubly, Circular linked lists
Operations: insertion, deletion, reversal, middle element, detect loops
Stack
Implementation using arrays & linked lists
Applications: balanced parentheses, infix-postfix, evaluation of expressions
Queue
Simple Queue, Circular Queue, Deque, Priority Queue
Applications: scheduling, buffer handling
Module 7: Non-Linear Data Structures
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Trees
Binary Tree – creation, traversal (inorder, preorder, postorder, level-order)
Binary Search Tree (BST) – insertion, deletion, search
AVL Tree (self-balancing BST)
Heap (Min & Max Heap)
Tries (Prefix Trees)
Graphs
Representation (Adjacency Matrix, Adjacency List)
Graph Traversals (BFS, DFS)
Shortest Path Algorithms (Dijkstra, Bellman-Ford, Floyd-Warshall)
Minimum Spanning Tree (Prim’s, Kruskal’s)
Topological Sorting
Module 8: Advanced Algorithms
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Divide & Conquer Algorithms
Greedy Algorithms (Activity Selection, Huffman Coding, Minimum Spanning Tree)
Dynamic Programming (DP)
Fibonacci, Coin Change, Knapsack (0/1, fractional)
Longest Common Subsequence (LCS), Longest Increasing Subsequence (LIS)
Matrix Chain Multiplication
Backtracking
N-Queens Problem
Sudoku Solver
Rat in a Maze
Word Search
Module 9: Competitive Programming & Interview Prep
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Introduction to competitive programming platforms (LeetCode, HackerRank, Codeforces, CodeChef)
Common DSA interview problems (arrays, strings, linked lists, trees, graphs, DP)
Problem-solving patterns (sliding window, two pointers, binary search on answer)
Mock coding tests & timed challenges
Whiteboard coding practice
Module 10: Projects & Capstone
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Mini-projects (Bank Management System, Student Record System, Inventory System)
DSA-based projects (Pathfinding Visualizer, Expression Evaluator, Custom HashMap)
Capstone Project integrating Java + DSA concepts
Hosting code on GitHub for portfolio building
About JAVA With DSA Course
Step into the world of programming and problem-solving with our industry-focused Java Programming with Data Structures & Algorithms course. This program is carefully designed to take you from Java fundamentals to advanced algorithms, data structures, and interview-ready problem-solving skills.
What You’ll Learn:
✅ Core Java Mastery – Syntax, OOP, exception handling, collections, and advanced Java concepts
✅ Data Structures & Algorithms (DSA) – Arrays, Linked Lists, Trees, Graphs, Hashing, Heaps, Dynamic Programming
✅ Problem-Solving Skills – Write clean, efficient, and optimized code with strong logic building
✅ Competitive Programming Techniques – Solve coding challenges on LeetCode, Codeforces, HackerRank, and CodeChef
✅ Real-World Projects & Capstone – Build mini-projects and advanced Java + DSA applications for your portfolio
✅ Coding Interview Readiness – Ace top tech company interviews with mock tests & problem-solving practice
✅ Version Control & Collaboration – Work with Git & GitHub for modern development practices
✅ Testing & Debugging – JUnit, debugging strategies, and code optimization techniques
✅ Career Support – Resume building, placement guidance, and pathways to Java Developer, Backend Engineer, and Competitive Programmer roles
Why Choose This Course?
🎯 Hands-On Learning – Apply concepts through coding exercises, challenges, and projects
🚀 Industry-Focused Curriculum – Learn exactly what tech recruiters and employers expect
💡 Expert Mentorship – Get guidance from experienced industry professionals
📈 Career-Ready Skills – Gain the confidence to tackle real-world coding problems and technical interviews
By the end of this course, you’ll emerge as a job-ready Java programmer, a competitive coding expert, and a highly skilled problem solver, prepared to excel in software development, backend engineering, and top tech interviews.
Career Opportunities After the Course
List potential roles students can pursue after completing the course, such as
- Software Developer / Software Engineer
- Backend Developer
- Java Developer
- Competitive Programmer
- Algorithm Expert / Problem Solver
- Technical Interview Preparation / Coding Mentor
With 100% job assurance, our course prepares you for a lucrative career in Coding.
Authorised Training Partners
Live Virtual Classes
Batch Timings
📅 Weekday Batches
🕖 Monday to Friday | 7:00PM – 9:00PM
📅 Weekend Special Batches
🕖 Saturday | 4:00 PM – 9:00 PM
🕖 Sunday | 10:00 AM – 3:00 PM
Total Course Duration : 4 Months