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  • Data Structures and Algorithms: Deep Dive Using Java

Data Structures and Algorithms: Deep Dive Using Java

Learn about Arrays, Linked Lists, Trees, Hashtables, Stacks, Queues, Heaps, Sort algorithms and Search algorithms

mm
Tim Buchalka
Programming Languages
(14,364 reviews)
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  • Overview
  • Curriculum
  • Instructor
  • Reviews

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

Requirements

  • Previous experience with an object-oriented programming language, preferably Java (but any OO language is fine).

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

Is available on google app?

Yes

Is available on ios?

Yes

Course Features

  • Lectures 116
  • Quizzes 0
  • Exercises 0
  • Duration 16 total hours
  • Skill level Intermediate Level
  • Students 92097
  • Last Updated May, 2023
  • Introduction 55:04

    • Lecture
      Introduction From Tim Buchalka 01:56
    • Lecture
      Introduction to the Course 03:42
    • Lecture
      JDK8 for Windows 05:15
    • Lecture
      JDK8 for MAC 02:44
    • Lecture
      JDK8 for Linux 04:20
    • Lecture
      IntelliJ for Windows 09:54
    • Lecture
      IntelliJ for MAC 09:43
    • Lecture
      IntelliJ for Linux 10:22
    • Lecture
      Introduction to Data Structures 02:53
    • Lecture
      Introduction to Algorithms 04:15
  • Arrays and Big-O Notation 43:42

    • Lecture
      Introduction to Arrays 00:53
    • Lecture
      A Quick Review of Arrays in Java 07:42
    • Lecture
      Big-O Notation 14:09
    • Lecture
      Arrays in Memory 09:02
    • Lecture
      Big-O Values for Array Operations 11:56
  • Sort Algorithms 04:15:41

    • Lecture
      Introduction to Sort Algorithms 01:04
    • Lecture
      Bubble Sort (Theory) 08:50
    • Lecture
      Bubble Sort (Implementation) 11:34
    • Lecture
      Stable vs. Unstable Sort Algorithms 04:42
    • Lecture
      Selection Sort (Theory) 06:33
    • Lecture
      Selection Sort (Implementation) 05:02
    • Lecture
      Insertion Sort (Theory) 07:34
    • Lecture
      Insertion Sort (Implementation) 07:12
    • Lecture
      Shell Sort (Theory) 12:54
    • Lecture
      Shell Sort (Implementation) 10:49
    • Lecture
      Recursion 18:10
    • Lecture
      Merge Sort (Theory) 20:40
    • Lecture
      Merge Sort (Implementation) 28:09
    • Lecture
      Quick Sort (Theory) 08:58
    • Lecture
      Quick Sort (Implementation) 12:34
    • Lecture
      Counting Sort (Theory) 07:56
    • Lecture
      Counting Sort (Implementation) 08:35
    • Lecture
      Radix Sort (Theory) 11:12
    • Lecture
      Stable Counting Sort (Theory) 13:18
    • Lecture
      Radix Sort (Implementation) 14:05
    • Lecture
      Sorting Arrays Using the JDK 07:00
    • Lecture
      Sort Algorithms Challenge #1 01:11
    • Lecture
      Sort Algorithms Challenge #1 Solution 04:03
    • Lecture
      Sort Algorithms Challenge #2 00:49
    • Lecture
      Sort Algorithms Challenge #2 Solution 11:46
    • Lecture
      Sort Algorithms Challenge #3 01:12
    • Lecture
      Sort Algorithms Challenge #3 Solution 09:49
  • Lists 02:05:05

    • Lecture
      Introduction to Lists 02:49
    • Lecture
      Abstract Data Types 02:56
    • Lecture
      Array Lists 23:56
    • Lecture
      Vectors 06:48
    • Lecture
      Singly Linked Lists (Theory) 06:42
    • Lecture
      Singly Linked Lists (Implementation) 17:39
    • Lecture
      Doubly Linked Lists (Theory) 09:33
    • Lecture
      Doubly Linked Lists (Implementation) 21:47
    • Lecture
      The JDK LinkedList Class 12:34
    • Lecture
      Linked Lists Challenge #1 01:36
    • Lecture
      Linked Lists Challenge #1 Solution 09:29
    • Lecture
      Linked Lists Challenge #2 01:46
    • Lecture
      Linked Lists Challenge #2 Solution 07:30
  • Stacks 48:57

    • Lecture
      Introduction to Stacks 00:37
    • Lecture
      Stacks (Theory) 07:22
    • Lecture
      Stacks Implementation (Array) 18:31
    • Lecture
      Stacks Implementation (Linked List) 11:59
    • Lecture
      Stacks Challenge 02:03
    • Lecture
      Stacks Challenge Solution 08:25
  • Queues 01:13:54

    • Lecture
      Introduction to Queues 00:26
    • Lecture
      Queues (Theory) 03:38
    • Lecture
      Queues (Array Implementation) 15:49
    • Lecture
      Circular Queue Implementation (Part One) 14:21
    • Lecture
      Circular Queue Implementation (Part Two) 20:30
    • Lecture
      Queues and the JDK 08:20
    • Lecture
      Queues Challenge 01:58
    • Lecture
      Queues Challenge Solution 08:52
  • Hashtables 02:12:36

    • Lecture
      Introduction to Hashtables 00:23
    • Lecture
      Hashtables (Theory) 08:25
    • Lecture
      Hashtables (Array Implementation) 13:53
    • Lecture
      Linear Probing 21:14
    • Lecture
      Linear Probing - Removing Items 09:39
    • Lecture
      Linear Probing - Rehashing 11:03
    • Lecture
      Chaining 21:24
    • Lecture
      Hashtables and the JDK 16:52
    • Lecture
      Bucket Sort (Theory) 06:35
    • Lecture
      Bucket Sort (Implementation) 09:03
    • Lecture
      Hashtables Challenge #1 01:54
    • Lecture
      Hashtables Challenge #1 Solution 02:39
    • Lecture
      Hashtables Challenge #2 01:37
    • Lecture
      Hashtables Challenge #2 Solution 07:55
  • Search Algorithms 25:50

    • Lecture
      Introduction to Search Algorithms 00:50
    • Lecture
      Linear Search Algorithm 03:51
    • Lecture
      Binary Search Algorithm 07:57
    • Lecture
      Binary Search (Implementation) 13:12
  • Trees 01:45:26

    • Lecture
      Introduction to Trees 00:55
    • Lecture
      Trees (Theory) 11:16
    • Lecture
      Binary Search Trees (Theory) 14:17
    • Lecture
      Binary Search Trees (Insertion) 10:50
    • Lecture
      Binary Search Trees (Traversal) 11:24
    • Lecture
      Binary Search Trees (Get, Min, Max) 10:28
    • Lecture
      Binary Search Trees (Delete Cases 1 and 2) 03:15
    • Lecture
      Binary Search Trees (Implement Cases 1 and 2) 09:11
    • Lecture
      Binary Search Trees (Delete Case 3) 08:51
    • Lecture
      Binary Seach Trees (Implement Case 3) 07:16
    • Lecture
      Trees and the JDK 03:44
    • Lecture
      Binary Search Trees Challenge #1 01:53
    • Lecture
      Binary Search Trees Challenge #1 Solution 02:49
    • Lecture
      Binary Search Trees Challenge #2 09:17
  • Heaps 01:22:34

    • Lecture
      Introduction to Heaps 00:29
    • Lecture
      Heaps (Theory) 07:50
    • Lecture
      Storing Heaps as Arrays 07:54
    • Lecture
      Heaps (Insert) 09:02
    • Lecture
      Heaps (Delete Theory) 06:55
    • Lecture
      Heaps (Delete) 20:06
    • Lecture
      Heaps (Peek) 05:19
    • Lecture
      Priority Queues 12:00
    • Lecture
      Heapsort (Theory) 04:54
    • Lecture
      Bonus - Please Watch! 00:48
    • Lecture
      Heapsort (Implementation) 07:17
  • Course Wrap-Up 04:28

    • Lecture
      Sets 02:51
    • Lecture
      Course Wrap-Up 01:24
    • Lecture
      Tell Us What Content You Want Us To Add! 00:13
  • Extra Information - Source code, and other stuff 06:49

    • Lecture
      Source Codes 02:00
    • Lecture
      Bonus Lecture and Information 04:49
Tim Buchalka
Java Python Android and C# Expert Developer - 1.23M students Tim's been a professional software developer for close to 40 years. During his career, he has worked for major companies such as Fujitsu, Mitsubishi, and Saab. His video courses are… View Profile
Goran Lochert
Software Engineer | Unity Certified Expert Programmer I’ve been a software developer for over 14 years (12 commercially), creating Desktop, Web, and Mobile applications during this time. I am a fully certified Java Developer (Java Oracle Certificate… View Profile
Tim Buchalka's Learn Programming Academy
Professional Programmers and Teachers - 323,000+ students The Learn Programming Academy was created by Tim Buchalka, a software developer with 35 years experience, who is also an instructor on Udemy, with over 335,000 students in his courses… View Profile

Student Feedback

4.4
14,364 Average ratings
51%
35%
10%
2%
1%
  • 2 weeks ago

    Mayank Chourasiya

    very good.

  • 3 weeks ago

    Francisco Santana de Sousa Júnior

    Great course, it is helping me a lot on college, but I just wanted it to have a section about graphs, it would be great!

  • 3 weeks ago

    G Sainath Goud

    just took the course today, ill get back;)

  • 1 month ago

    Anderson Martinez Jurado

    Buen curso, se brinda explicacion de los algoritmos mas comunes de ordenamiento y busqueda, con sus respectivos ejemplos y ejercicios.

  • 1 month ago

    Sanjetha Padmanabhan

    it was a wonderful course but Dynamic programming and graph concepts are not covered

  • 1 month ago

    PRAFULLA GAWHAD

    Course content +language are easy to understand

  • 1 month ago

    Farai M Matsika T2128646y

    its promising to be interesting

  • 1 month ago

    Janani V A

    .

  • 2 months ago

    Rajnish Sasmal

    Nice Explanation !!

  • 2 months ago

    Kenzy Louis

    Good

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    3 Comments

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