DSA with Java for Beginners – Master Data Structures and Algorithms

About Course

Are you new to Data Structures and Algorithms (DSA) or need a refresher? Then this course will help you get all the fundamentals of Arrays, Linked Lists, Stacks, Queues, Trees, Graphs, and more, using Java as the programming language. By the end of the course, you’ll confidently solve algorithmic problems and build a solid foundation for competitive programming and technical interviews.

Mastering DSA with Java has allowed me to create efficient solutions and help students all over the world develop their programming and problem-solving skills. Being proficient in DSA can open doors to highly rewarding job opportunities in the tech industry, both online and offline, and is essential for building scalable and optimized applications.

Understanding DSA will allow you to design and optimize algorithms for real-world applications, including systems like search engines, social networks, and recommendation systems. This skill is critical for cracking coding interviews at top tech companies like Google, Amazon, Meta, and Microsoft.
There is no limit to what you can achieve with this knowledge. DSA is one of the most important subjects in computer science and is highly sought after in the tech world. Mastering DSA with Java will give you SUPER POWERS in problem-solving, programming competitions, and landing dream jobs.

Course Content

1. Basics of Java and Algorithm Analysis

Overview of Java Basics
Input and Output in Java
Time Complexity and Space Complexity
Big-O, Big-Theta, and Big-Omega Notations
Analyzing Simple Algorithms

About Course

What Will You Learn?

Course Content

1. Basics of Java and Algorithm Analysis

Overview of Java Basics

Input and Output in Java

Time Complexity and Space Complexity

Big-O, Big-Theta, and Big-Omega Notations

Analyzing Simple Algorithms

2. Arrays

One-dimensional and Two-dimensional Arrays

Dynamic Arrays (ArrayList)

Searching in Arrays (Linear and Binary Search)

Applications of Arrays

3. Strings

Basic String Manipulations

Palindrome Checking

Anagrams and Substring Problems

Pattern Matching Algorithms (KMP, Rabin-Karp)

String Compression and Encoding Techniques

4. Linked Lists

Singly Linked List

Doubly Linked List

Circular Linked List

Operations: Insertion, Deletion, Traversal, Reversal

Detecting Loops in Linked Lists

5. Stacks and Queues

Stack: Implementation Using Arrays and Linked Lists

Queue: Implementation Using Arrays and Linked Lists

Circular Queue

Priority Queue

Applications: Balanced Parentheses, Postfix Evaluation

6. Recursion

Basics of Recursion

Recursive Algorithms: Factorial, Fibonacci, Tower of Hanoi

Backtracking Algorithms: N-Queens, Maze Solving

7. Trees

Binary Trees: Traversals (In-order, Pre-order, Post-order)

Binary Search Tree (BST)

AVL Tree, Red-Black Tree

Tree Operations: Insertion, Deletion, Searching

Applications: Expression Trees, Huffman Coding

8. Graphs

Representation: Adjacency Matrix and List

Depth-First Search (DFS), Breadth-First Search (BFS)

Minimum Spanning Trees (Prim’s and Kruskal’s)

Shortest Path Algorithms (Dijkstra’s, Floyd-Warshall)

Topological Sorting

9. Hashing

Hash Tables and Hash Functions

Collision Resolution Techniques (Chaining, Open Addressing)

Applications: Anagram Detection, Caching

10. Divide and Conquer Algorithms

Binary Search

Merge Sort

Quick Sort

Maximum Subarray Problem (Kadane’s Algorithm)

11. Greedy Algorithms

Greedy Algorithm Basics

Activity Selection Problem

Fractional Knapsack Problem

Huffman Encoding

12. Dynamic Programming

Basics of Dynamic Programming

Longest Common Subsequence (LCS)

Knapsack Problem (0/1 Knapsack)

Matrix Chain Multiplication

Coin Change Problem

13. Searching and Sorting

Linear and Binary Search

Sorting: Bubble, Selection, Insertion, Merge, Quick, Heap Sort

Applications in Real-World Scenarios

14. Bit Manipulation

Basics of Bits

Bitwise Operators

Applications: Subset Generation, Checking Power of Two

15. Advanced Topics

Tries: Prefix Trees

Segment Trees and Fenwick Trees

Disjoint Set Union (DSU)