Data Structures and Algorithms: Deep Dive Using Java
Learn about Arrays, Linked Lists, Trees, Hashtables, Stacks, Queues, Heaps, Sort algorithms and Search algorithms
Learn about Arrays, Linked Lists, Trees, Hashtables, Stacks, Queues, Heaps, Sort algorithms and Search algorithms
So you've worked with the basics of data structures and algorithms in Java (or another OO programming language) but feel like you need a deeper knowledge of how things work.
Maybe you have taken other courses on this topic that focus more on teaching how to pass job interview tests (theory) instead of how to make good choices for the programs you develop (implementation).
Or maybe you are ready to move from a junior programming position to a more senior one and need to get skilled in advanced concepts like data structures, and how to apply them to your own projects.
Whatever the reason, if you are looking for a course that focus on the implementations to give you a complete understanding of how things work, then this is the course for you.
This course goes over the theory of how things work, but only to give you what you need to know to understand the implementation covered.
Complete source code is included and available for you to download.
This is a hands-on course! If you want to try understand things at a deep level, and work on implementations, rather than theory, then again, this is the course for you.
Topics covered:-
Arrays
Linked Lists
Trees
Hashtables
Stacks
Queues
Heaps
Sort algorithms
Search algorithms
The course also spends more time than most other courses of its kind looking at what’s available in the JDK. Students wanting to understand how things work "under the hood" will benefit enormously from this course.
Why learn about data structures and algorithms?
The reality is, the more you learn about data structures and algorithms, the better a programmer you become.
Why?
Because, data structures and algorithms are effectively patterns for solving problems. You want to add as many of them as you can to your skill-set. By doing so, you will find you solve more problems, and use the right tools for the job, in a more elegant way. And you will learn a heap of them in this course.
Why enrolling in this course is the best decision you can make.
Your instructor, Sarah Ettritch has over 25 years’ software development experience and has been working with Java since JDK 1.1. She has spent many years creating tools used by developers, which required a deep knowledge of data structures and algorithms, and is perfectly qualified to teach this course.
Most courses focus on giving you the theory of how things work, so that you can take an interview. Whilst the theory is important, the knowledge of how to implement these data structures and algorithms are of vital importance.
This course goes over the theory of how things work, but only to give you what you need to know to understand the implementation covered. The main focus of the course is to give you a real understanding of how things work under the hood, so that you can apply this to future programming projects.
If you want to actually understand how things work, and be able to take that understanding and apply it to your own programs, then this course is for you.
After completing this course, you will have a solid understanding of data structures and algorithms (both the theory, and the implementation).
The sooner you sign up for this course, the sooner you will have the skills and knowledge you need to increase your job or consulting opportunities. Java developers with key skills and understanding of data structures and algorithms are in high demand and get paid extremely well.
If you are ready for that new job promotion or consulting opportunity, it's time to get started.
Why not get started today?
Click the Signup button to sign up for the course
Khu vực Câu hỏi thường gặp trống
Course Introduction and Updates by Tim Buchalka
Xem trướcData Structures and Algorithms: Course Overview
Xem trướcJDK 8 Installation Guide for Windows Users
Xem trướcJDK 8 Installation Guide for macOS Users
Xem trướcJDK 8 Installation Guide for Linux (Ubuntu)
Xem trướcIntelliJ IDEA Installation Guide for Windows
Xem trướcIntelliJ IDEA Installation Guide for macOS
Xem trướcIntelliJ IDEA Installation Guide for Linux (Ubuntu)
Xem trướcUnderstanding Data Structures: An Introduction
Xem trướcUnderstanding Algorithms: An Introduction
Xem trướcIntroduction to Sorting Algorithms
Xem trướcBubble Sort Explained: Theory and In-Place Sorting
Xem trướcBubble Sort Implementation in Java: Step-by-Step Guide
Xem trướcStable vs. Unstable Sorting Algorithms Explained
Xem trướcSelection Sort: In-Place Sorting Algorithm Explained
Xem trướcSelection Sort Implementation in Java: A Practical Guide
Xem trướcInsertion Sort: Theory and Step-by-Step Explanation
Xem trướcInsertion Sort: Implementation
Xem trướcShell Sort: An Efficient Sorting Algorithm Explained
Xem trướcShell Sort Implementation in Java: A Step-by-Step Guide
Xem trướcRecursion Explained: A Deep Dive into Recursive Methods
Xem trướcMerge Sort: Divide and Conquer Sorting Algorithm Explained
Xem trướcMerge Sort Implementation in Java: A Practical Guide
Xem trướcQuick Sort: Divide and Conquer Sorting Algorithm
Xem trướcQuick Sort Implementation in Java: A Practical Guide
Xem trướcCounting Sort: Linear Time Sorting Algorithm Explained
Xem trướcCounting Sort Implementation in Java: A Step-by-Step Guide
Xem trướcRadix Sort: Sorting Algorithm for Fixed Width Data
Xem trướcStable Counting Sort: Theory and Implementation
Xem trướcRadix Sort Implementation in Java: A Practical Guide
Sorting Arrays in Java: Using the Arrays Class
Merge Sort Challenge: Descending Order Sorting
Merge Sort Challenge Solution: Descending Order
Insertion Sort Challenge: Recursive Implementation
Insertion Sort Challenge Solution: Recursive Implementation
Radix Sort Challenge: String Sorting Implementation
Radix Sort Challenge Solution: String Sorting
Introduction to Lists in Java: Exploring the java.util.List Interface
Understanding Abstract Data Types (ADTs): Definitions and Core Concepts
Deep Dive into ArrayLists: Capacity, Size, and Dynamic Array Implementation
Vectors in Java: Thread-Safe Operations and Synchronization vs. ArrayList
Singly Linked Lists: Conceptual Overview and Node-Based Data Organization
Implementing a Singly Linked List in Java: Node Creation and List Operations
Doubly Linked Lists: Theory, Bidirectional Traversal, and Node Relationships
Implementing a Doubly Linked List in Java: Enhancing Node Connections
JDK LinkedList Class: Exploring Java's Built-in Doubly Linked List Features
Linked Lists Coding Challenge 1: Adding Before a Node in a Linked List
Linked List Challenge 1 Solution Implementing Add Before in a Doubly Linked List
Linked Lists Coding Challenge 2: Sorted Insertion into a Singly Linked List
Linked List Challenge 2 Solution: Maintaining Sorted Order
Introduction to Stacks: Fundamental Concepts and Applications
Stack Operations and Principles: Understanding LIFO (Last-In, First-Out)
Implementing Stacks with Arrays: Array-Backed Stack Data Structures
Using JDK's LinkedList for Stacks: Leveraging Built-in Java Functionality
Stack Challenge: Develop a Palindrome Checker Using Stack Operations
Palindrome Checker Using Stacks: A Step-by-Step Solution and Code Walkthrough
Queue Data Structures: Introduction and Core Concepts for Beginners in Java
Queue Fundamentals: FIFO Operations, Theory, and Time Complexity Analysis
Implementing Queues with Arrays: A Practical Java Coding Guide with Resizing
Enhancing Queues with Circular Arrays: Optimizing Space and Efficiency - Part 1
Advanced Circular Queue Implementation: Resizing, Unwrapping, and Optimization
Exploring Queue and Deque Interfaces in the Java Development Kit (JDK)
Coding Challenge: Test Palindrome Recognition Skills Using a Queue and a Stack
Palindrome Checker: Solution Using Stack and Queue in Java Detailed Walkthrough
Introduction to Hash Tables: Key-Value Pairs, and Advantages in Data Access
Hash Table Fundamentals: Hashing, Keys, Values, Load Factor and Collisions
Implementing Hash Tables with Arrays: A Practical Java Coding Guide
Collision Resolution in Hash Tables with Linear Probing and Rehasing Techniques
Implementing the Remove Method when Using Linear Probing in Hash Tables
Rehashing After Removing with Linear Probing for Improved Hash Table Performance
Handling Hash Table Collisions with Chaining: A Linked List Approach
Exploring HashMap, Hashtable, and LinkedHashMap in the Java Development Kit
Bucket Sort Algorithm Explained: Understanding the Theory and Implementation
Implementing the Bucket Sort Algorithm in Java: A Step-by-Step Code Example
Hashtables Challenge #1: Develop a Hashing Function for Integer Array Mapping
Hashing Function Challenge Solution: Creating an Integer to Array Index Mapper
Hashtables Challenge #2: Removing Duplicates from a LinkedList Using a HashMap
Hash Table Challenge #2 Solution: Eliminate Duplicates in a LinkedList Expertly
A Comprehensive Introduction to Tree Data Structures in Java
Fundamental Theory and Terminology of Tree Data Structures in Java
Deep Dive into Binary Search Trees: Characteristics and Theory
Implementing Insertion Operations in Binary Search Trees with Java
Mastering Tree Traversal Techniques: In-Order, Pre-Order and Post-Order
Implementing Get, Min, and Max Operations on Binary Search Trees
Binary Search Tree Deletion: Handling Cases with Zero or One Child
Implementing Node Deletion in Binary Search Trees: Zero and One Child
Mastering Binary Search Tree Deletion: Handling Nodes with Two Children
Implementing Deletion of Nodes with Two Children in Binary Search Trees
Exploring Tree-Related Classes and Structures within the Java JDK
Challenge Exercise: Implementing Pre-Order Traversal in Binary Trees
Solution and Explanation for Pre-Order Traversal in Binary Trees
Hands-On Practice: Insertion and Deletion Operations in Binary Trees
Comprehensive Introduction to Heap Data Structures in Java
Understanding the Underlying Theory and Properties of Heaps
Efficiently Storing and Representing Heaps as Arrays in Java
Implementing Insertion Operations in Max-Heaps Using Java
Theory and Concepts of Deletion Operations in Heap Data Structures
Implementing Deletion in Heaps: Handling All Cases with Java Code
Implementing the Peek Operation for Efficient Heap Data Access
Priority Queues: Understanding and Utilizing Heap-Based Implementations
Heapsort Algorithm Explained: In-Place Sorting with Max-Heaps (Theory)
Implementing the Heapsort Algorithm in Java: A Step-by-Step Guide
Previous experience with an object-oriented programming language, preferably Java (but any OO language is fine).
Learn the strengths and weaknesses of a variety of data structures, so you can choose the best data structure for your data and applications
Code an implementation of each data structure, so you understand how they work under the covers
Learn many of the algorithms commonly used to sort data, so your applications will perform efficiently when sorting large datasets
Learn what’s available in the JDK for storing and sorting data, so you won’t waste time reinventing the wheel