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Java DSA (Data Structures & Algorithms) Course
Applied Data Structures & Algorithms in Java
Learn data structures and algorithms in Java, including linked lists and trees, graphs, heaps, and sorting. Enroll in this Java DSA course to improve your skills in solving problems and coding interviews.
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Course outline
Industry focussed curriculum designed by experts
Introduction to Data Structure and Algorithm
6 items
1.11 hr
- Algorithmic Analysis
- Types of Algorithmic Analysis
- Need to learn Complexity Theory
- Time Complexity
- Space Complexity
- Data Structure and its Types
Linked List
6 items
0.36 hr
- Types of Linked Lists
- Implementation of Circular Linked List
- Implementation of Doubly Linked List
- Linked Stack and Queue
- Implementation of Linked Queue
- Implementation of Linked Stack
Stack and Queue
4 items
0.22 hr
- Introduction to Stack
- Array Representation of Stack
- Implementation of Stack using Arrays
- Infix to Postfix conversion - Demo
- Postfix Evaluation - Demo
- Queue
Trees and Trie
4 items
0.36 hr
- Storing Strings - Binary Search Tree
- Advantages and Challenges of Binary Search Tree
- Introduction to Trie
- Implementation to Trie
Graphs
6 items
1.11 hr
- Introduction to Graph
- Types of Graph
- Introduction to BFS
- Implementation of BFS
- Introduction to DFS
- Implementing DFS using Stack
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Start 7-Day Free TrialGuided Projects
Solve real-world projects using a step-by-step guide, starter code templates, and access to model solutions as you learn DSA in Java so you can level up your skills and create a standout resume.
- GUIDED PROJECT 1
- Pathfinding in a City Map
- This project focuses on designing a program that represents a city map as a graph and implements pathfinding algorithms to find the shortest or most efficient route between two locations. Students will learn graph representation, traversal algorithms like BFS and DFS, and can extend to weighted shortest-path algorithms like Dijkstra’s or A*.
- GUIDED PROJECT 2
- E-commerce Order Processing System
- This project simulates an e-commerce platform’s order management system, handling order insertion, priority-based delivery, searching and sorting of orders and efficient storage using hashing. It incorporates advanced data structures like heaps, hash tables and sorting/searching algorithms.
Gain skills & build your resume with complete access to guided projects in your free trial
Start 7-Day Free TrialCourse Instructors
Mr. Vishwa Mohan
Staff Engineer @ LinkedIn | IIT Grad | Technology enthusiast | Mentor | Public Speaker
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Frequently Asked Questions
Who can enroll in this Java DSA course?
The course would be suitable to students, software developers and professionals interested in practicing coding interview questions, and to anyone wishing to sharpen their problem-solving and programming skills using Java.
What can I learn in this DSA Java course?
You will be introduced to the basics of data structures and algorithms like linked lists, stacks, queues, trees, tries, graphs, heaps and hashing. The course also covers the search and sorting algorithms, paradigms like recursion, dynamic programming, greedy algorithms, and divide and conquer.
What do I gain in this Java with DSA course?
This Java DSA course will enable you to access and utilize data structures and algorithms in Java, comprehend and analyze time and space complexity, and apply problem-solving techniques to real-life cases like pathfinding, order processing, and the use of efficient data management.
Is this Java with DSA course self-paced?
Yes. It is a self-paced course, meaning that you study at your pace. You will access video lessons, examples and guided projects which will allow you to practice each concept step on step
Does the course include practical projects?
Yes. You will work on guided projects that apply DSA concepts in real-world scenarios:
- Pathfinding in a City Map – Represent a city map as a graph and use traversal and shortest-path algorithms to find efficient routes.
- E-commerce Order Processing System – Build a system to manage orders using hashing, heaps, searching, and sorting techniques for optimized performance.