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Data Structures and Algorithms: Deep Dive Using Java

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Data Structures and Algorithms: Deep Dive Using Java, available at $109.99, has an average rating of 4.49, with 116 lectures, based on 20560 reviews, and has 111240 subscribers.

You will learn about 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 This course is ideal for individuals who are Developers who have some knowledge of Java (or another OO language) looking to understand data structures and algorithms at a deep level It is particularly useful for Developers who have some knowledge of Java (or another OO language) looking to understand data structures and algorithms at a deep level.

Enroll now: Data Structures and Algorithms: Deep Dive Using Java

Summary

Title: Data Structures and Algorithms: Deep Dive Using Java

Price: $109.99

Average Rating: 4.49

Number of Lectures: 116

Number of Published Lectures: 116

Number of Curriculum Items: 116

Number of Published Curriculum Objects: 116

Original Price: $89.99

Quality Status: approved

Status: Live

What You Will Learn

  • 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

Who Should Attend

  • Developers who have some knowledge of Java (or another OO language) looking to understand data structures and algorithms at a deep level

Target Audiences

  • Developers who have some knowledge of Java (or another OO language) looking to understand data structures and algorithms at a deep level

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

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction From Tim Buchalka

Lecture 2: Introduction to the Course

Lecture 3: JDK8 for Windows

Lecture 4: JDK8 for MAC

Lecture 5: JDK8 for Linux

Lecture 6: IntelliJ for Windows

Lecture 7: IntelliJ for MAC

Lecture 8: IntelliJ for Linux

Lecture 9: Introduction to Data Structures

Lecture 10: Introduction to Algorithms

Chapter 2: Arrays and Big-O Notation

Lecture 1: Introduction to Arrays

Lecture 2: A Quick Review of Arrays in Java

Lecture 3: Big-O Notation

Lecture 4: Arrays in Memory

Lecture 5: Big-O Values for Array Operations

Chapter 3: Sort Algorithms

Lecture 1: Introduction to Sort Algorithms

Lecture 2: Bubble Sort (Theory)

Lecture 3: Bubble Sort (Implementation)

Lecture 4: Stable vs. Unstable Sort Algorithms

Lecture 5: Selection Sort (Theory)

Lecture 6: Selection Sort (Implementation)

Lecture 7: Insertion Sort (Theory)

Lecture 8: Insertion Sort (Implementation)

Lecture 9: Shell Sort (Theory)

Lecture 10: Shell Sort (Implementation)

Lecture 11: Recursion

Lecture 12: Merge Sort (Theory)

Lecture 13: Merge Sort (Implementation)

Lecture 14: Quick Sort (Theory)

Lecture 15: Quick Sort (Implementation)

Lecture 16: Counting Sort (Theory)

Lecture 17: Counting Sort (Implementation)

Lecture 18: Radix Sort (Theory)

Lecture 19: Stable Counting Sort (Theory)

Lecture 20: Radix Sort (Implementation)

Lecture 21: Sorting Arrays Using the JDK

Lecture 22: Sort Algorithms Challenge #1

Lecture 23: Sort Algorithms Challenge #1 Solution

Lecture 24: Sort Algorithms Challenge #2

Lecture 25: Sort Algorithms Challenge #2 Solution

Lecture 26: Sort Algorithms Challenge #3

Lecture 27: Sort Algorithms Challenge #3 Solution

Chapter 4: Lists

Lecture 1: Introduction to Lists

Lecture 2: Abstract Data Types

Lecture 3: Array Lists

Lecture 4: Vectors

Lecture 5: Singly Linked Lists (Theory)

Lecture 6: Singly Linked Lists (Implementation)

Lecture 7: Doubly Linked Lists (Theory)

Lecture 8: Doubly Linked Lists (Implementation)

Lecture 9: The JDK LinkedList Class

Lecture 10: Linked Lists Challenge #1

Lecture 11: Linked Lists Challenge #1 Solution

Lecture 12: Linked Lists Challenge #2

Lecture 13: Linked Lists Challenge #2 Solution

Chapter 5: Stacks

Lecture 1: Introduction to Stacks

Lecture 2: Stacks (Theory)

Lecture 3: Stacks Implementation (Array)

Lecture 4: Stacks Implementation (Linked List)

Lecture 5: Stacks Challenge

Lecture 6: Stacks Challenge Solution

Chapter 6: Queues

Lecture 1: Introduction to Queues

Lecture 2: Queues (Theory)

Lecture 3: Queues (Array Implementation)

Lecture 4: Circular Queue Implementation (Part One)

Lecture 5: Circular Queue Implementation (Part Two)

Lecture 6: Queues and the JDK

Lecture 7: Queues Challenge

Lecture 8: Queues Challenge Solution

Chapter 7: Hashtables

Lecture 1: Introduction to Hashtables

Lecture 2: Hashtables (Theory)

Lecture 3: Hashtables (Array Implementation)

Lecture 4: Linear Probing

Lecture 5: Linear Probing – Removing Items

Lecture 6: Linear Probing – Rehashing

Lecture 7: Chaining

Lecture 8: Hashtables and the JDK

Lecture 9: Bucket Sort (Theory)

Lecture 10: Bucket Sort (Implementation)

Lecture 11: Hashtables Challenge #1

Lecture 12: Hashtables Challenge #1 Solution

Lecture 13: Hashtables Challenge #2

Lecture 14: Hashtables Challenge #2 Solution

Chapter 8: Search Algorithms

Lecture 1: Introduction to Search Algorithms

Lecture 2: Linear Search Algorithm

Lecture 3: Binary Search Algorithm

Lecture 4: Binary Search (Implementation)

Chapter 9: Trees

Lecture 1: Introduction to Trees

Lecture 2: Trees (Theory)

Lecture 3: Binary Search Trees (Theory)

Lecture 4: Binary Search Trees (Insertion)

Instructors

Rating Distribution

  • 1 stars: 222 votes
  • 2 stars: 338 votes
  • 3 stars: 2056 votes
  • 4 stars: 7708 votes
  • 5 stars: 10236 votes

Frequently Asked Questions


How long do I have access to the course materials?


You can view and review the lecture materials indefinitely, like an on-demand channel.


Can I take my courses with me wherever I go?


Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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