Udemy - Data Structures and Algorithms with Java

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Free Download Udemy - Data Structures and Algorithms with Java
Published 5/2025
Created by Piyush Garg
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 241 Lectures ( 43h 22m ) | Size: 17.5 GB

Master Java Programming & Data Structures
What you'll learn
Core Java Programming - Syntax, data types, control structures, functions, and exception handling.
Object-Oriented Programming (OOP) - Concepts like classes, objects, inheritance, polymorphism, abstraction, and encapsulation in Java.
Design Principles - Industry-standard principles such as SOLID, DRY, KISS, and YAGNI to write clean, maintainable code.
Design Patterns & Machine Coding - Introduction to common design patterns and how to approach machine coding rounds in interviews.
Linear Data Structures - Implementation and use cases of Arrays, ArrayLists, LinkedLists, Stacks, Queues, and HashMaps in Java.
Non-Linear Data Structures - Understanding Trees (BST, AVL), Heaps (Min/Max), Tries, and Graphs along with traversal algorithms like DFS and BFS.
Bit Manipulation - In-depth understanding of how bits work, including binary-decimal conversions and low-level operations.
Space and Time Complexity - Learn how to analyze the efficiency of your code using Big-O notation.
Requirements
Basic familiarity with programming concepts (helpful but not mandatory)
Description
Welcome to the ultimate Java programming course by Piyush Garg - designed for beginners, intermediate learners, and seasoned developers who want to master Java and data structures from the ground up.In this comprehensive course, we begin with the core fundamentals of Java, covering syntax, object-oriented programming (OOP), and essential design principles like SOLID, DRY, and KISS. Whether you're new to programming or a college student aiming to strengthen your Java skills, this course is your go-to guide. We'll progress gradually, ensuring crystal-clear understanding of each topic.Java, being the most popular programming language, powers over 90% of Fortune 500 companies, Android applications, and financial systems. Its strong support for OOP makes it the ideal choice for aspiring software engineers.You'll also learn to implement and work with both linear and non-linear data structures. In the linear section, we cover Arrays, ArrayLists, LinkedLists, Stacks, Queues, and HashMaps - the building blocks of any efficient program. Then, we dive into advanced topics like Trees (BST, AVL), Heaps (Min/Max), Tries, and Graphs, including key traversal algorithms like DFS and BFS.This course is packed with coding challenges to help you solidify concepts and prepare for technical interviews and machine coding rounds.By the end, you'll be confident in Java and equipped to master Data Structures and Algorithms with ease.
Who this course is for
Beginners who want to start programming and are looking for a structured, beginner-friendly introduction to Java and core programming concepts.
College and university students studying computer science or related fields who want to build a solid foundation in Java and data structures.
Aspiring software engineers preparing for internships, job interviews, and machine coding rounds at top tech companies.
Java developers looking to refresh or deepen their understanding of core concepts, OOP, and data structures.
Competitive programming enthusiasts who want to improve their grasp of Java's implementation of complex data structures.
Professionals preparing for technical interviews who need a strong revision of linear and non-linear data structures using Java.
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Java Algorithms and Data Structures
Published 8/2023
Duration: 4h3m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 1.28 GB
Genre: eLearning | Language: English​

Master Java Algorithms and Data Structures for Efficient Programming and Problem Solving

What you'll learn
Master fundamental data structures: Students will gain a comprehensive understanding of essential data structures
Understand algorithm design and analysis: Students will explore various algorithm design techniques
Strengthen Your Skills as a Developer
Graph Algorithms
Requirements
Basic knowledge of Java programming
Description
In this course, you will embark on a journey to master the essential concepts and techniques of algorithms and data structures using the Java programming language. Whether you're a beginner in Java or an experienced programmer looking to deepen your understanding of algorithms, this course is designed to cater to learners of all levels.
Starting with a solid foundation, you'll explore fundamental data structures such as arrays, linked lists, stacks, queues, trees, and graphs. Through interactive lectures, you will learn how to implement these data structures in Java and gain insights into their strengths, weaknesses, and optimal usage scenarios.
With a strong grasp of data structures, you'll then delve into algorithm design and analysis. You'll discover various algorithmic paradigms, including sorting, searching, and graph algorithms. Through practical examples and in-depth explanations, you will understand how to analyze the time and space complexity of algorithms, enabling you to make informed decisions when selecting the most efficient algorithm for a specific problem.
Throughout the course, you will develop your problem-solving skills by tackling a wide range of algorithmic challenges. You'll learn how to approach complex problems, break them down into manageable components, and devise efficient solutions using Java. Through coding projects and real-world examples, you will gain practical experience in applying your knowledge to solve algorithmic problems.
You'll learn strategies for approaching common data structure and algorithm questions asked in interviews, optimize your solutions, and effectively communicate your thought process.
By the end of this course, you will have a strong command of Java algorithms and data structures. You'll be equipped with the skills to write efficient and scalable code, and confidently tackle algorithmic challenges. Join us now and unlock the power of Java algorithms and data structures
Who this course is for:
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