Course Details

Data Structueres and Algorithms Using Java

IT


Provider Name             :    GlobalOne Services

Course Type               :    Hybrid

Duration (Hrs)             :    75

Hours/day                 :    3

Training Type             :    Hybrid

Certification               :    yes

Orginal Price               :    15000/-

Discount Price             :    13500/-

No.of. vacancies         :    500

Last date to apply     :      2024-12-01


Full Information

Course Description

The DSA Using Java Course is tailored to equip you with a comprehensive understanding of Data Structures and Algorithms (DSA) using the Java programming language. This course covers essential data structures, algorithmic techniques, and problem-solving skills needed to excel in technical interviews and coding assessments. With a focus on practical application, you will learn how to implement and optimize algorithms, understand time and space complexity, and use Java in-built libraries effectively. By the end of this course, you will be proficient in DSA, able to tackle complex coding problems, and ready for roles that require solid algorithmic knowledge.The DSA Using Java Course is tailored to equip you with a comprehensive understanding of Data Structures and Algorithms (DSA) using the Java programming language. This course covers essential data structures, algorithmic techniques, and problem-solving skills needed to excel in technical interviews and coding assessments. With a focus on practical application, you will learn how to implement and optimize algorithms, understand time and space complexity, and use Java in-built libraries effectively. By the end of this course, you will be proficient in DSA, able to tackle complex coding problems, and ready for roles that require solid algorithmic knowledge.

Topics to be covered

Module 1: Introduction to Data Structures and Algorithms Importance of DSA for Software Development and Problem Solving Complexity Analysis: Big O, Big Theta, Big Omega Introduction to Recursion and Divide & Conquer Strategy

Module 2: Core Java Concepts for DSA Java Basics Review (Data Types, Operators, Loops) Object-Oriented Programming (OOP) for DSA Java Collections Framework (List, Set, Map, Queue) Exception Handling and Generics in Java

Module 3: Linear Data Structures Arrays: Operations, Multi-dimensional Arrays Linked Lists: Singly Linked List, Doubly Linked List, Circular Linked List Stacks and Queues: Implementations and Applications Use Cases: Balancing Expressions, Undo Operations, Function Call Stack

Module 4: Non-Linear Data Structures Trees: Binary Trees, Binary Search Trees (BST), AVL Trees, and Heaps Traversals (Inorder, Preorder, Postorder, Level Order) Tree Applications (Expression Trees, Huffman Coding) Graphs: Graph Representations (Adjacency Matrix, Adjacency List) Depth-First Search (DFS) and Breadth-First Search (BFS) Graph Algorithms: Dijkstra’s, Prim’s, and Kruskal’s Algorithms Module

Module 5: Searching and Sorting Algorithms Sorting Algorithms: Bubble Sort, Insertion Sort, Selection Sort, Merge Sort, Quick Sort, Heap Sort Searching Algorithms: Linear Search, Binary Search, Interpolation Search Complexity Analysis for Sorting and Searching

Module 6: Advanced Data Structures Hashing: Hash Functions, Collision Resolution Techniques (Chaining, Open Addressing) Heaps and Priority Queues: Min-Heap, Max-Heap, Java PriorityQueue Tries: Implementation and Applications in Auto-Completion and Spell Checking

Module 7: Dynamic Programming and Greedy Algorithms Dynamic Programming: Concepts of Memoization and Tabulation Solving Classic DP Problems (Knapsack, Longest Common Subsequence, Subset Sum) Greedy Algorithms: Greedy Strategy and Problem Solving (Activity Selection, Fractional Knapsack)

Module 8: Problem Solving with DSA Solving Array, Linked List, Tree, and Graph-Based Problems Practice on Competitive Coding Platforms (e.g., LeetCode, HackerRank, CodeSignal) Optimization Techniques and Complexity Reduction

Module 9: Capstone Project and Interview Preparation Final Project: Build an Application with Optimized DSA Solutions Mock Interviews and Real-World Problem Solving Sessions Resume Preparation with a Focus on DSA Projects

Benefits of Course

This DSA Using Java Course gives you a robust foundation in data structures and algorithms, allowing you to solve complex coding challenges and excel in technical interviews. By mastering DSA with Java, you will gain crucial problem-solving abilities, learn to write optimized code, and become proficient in using Javas powerful Collections framework. This course prepares you for success in competitive coding, enhances your programming efficiency, and makes you a desirable candidate for software development roles, especially those that prioritize algorithmic and data-driven thinking.

Pre-Requirements

None