Overview
Data Structures and Algorithms (DSA) form the backbone of efficient programming and problem-solving. Our DSA Using Java training in Lucknow is designed to help students and professionals master DSA concepts while leveraging Java’s robust capabilities. This course is perfect for individuals aiming to strengthen their programming foundation and crack competitive coding interviews.
Why DSA Using Java?
Learning DSA with Java provides multiple benefits, including:
- A strong grasp of problem-solving techniques
- Efficient code optimization skills
- Understanding the underlying concepts of Java’s in-built data structures
- Preparation for competitive programming and technical interviews
- Applications in developing scalable and high-performing applications
Highlights
Beginner Friendly
Learn from scratch with step-by-step guidance, perfect for beginners.
Responsive Design
Create websites that adapt seamlessly to different devices.
Hands-On Projects
Work on real-world projects to enhance your practical skills.
DSA Using Java Syllabus
- Introduction to Java:
- Basics of Java Programming
- Object-Oriented Programming Concepts
- Java Collections Framework Overview
- Time and Space Complexity:
- Understanding Big O Notation
- Analyzing Algorithm Efficiency
- Best, Average, and Worst Case Scenarios
- Array and Linked List:
- Introduction to Arrays and Operations
- Singly and Doubly Linked Lists
- Circular Linked Lists
- Stacks and Queues:
- Implementing Stacks Using Arrays and Linked Lists
- Queue and Circular Queue Implementation
- Priority Queues and Deques
- Hashing:
- Hash Tables and Hash Functions
- Collision Handling Techniques
- Applications of Hashing
- Recursion:
- Understanding Recursion
- Recursive Functions and Problems
- Backtracking Techniques
- Trees and Graphs:
- Binary Trees and Binary Search Trees
- Tree Traversals (Inorder, Preorder, Postorder)
- Graph Representations and Traversals (DFS, BFS)
- Sorting and Searching:
- Bubble Sort, Selection Sort, and Insertion Sort
- Quick Sort and Merge Sort
- Binary Search and Applications
- Dynamic Programming:
- Introduction to DP and Memoization
- Common DP Problems (Knapsack, Longest Common Subsequence)
- Optimization Techniques
- Advanced Topics:
- Segment Trees and Fenwick Trees
- Trie Data Structure
- Disjoint Set Union (Union-Find)