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Data Structures and Algorithms: Deep Dive Using Java

Learn about Arrays, Linked Lists, Trees, Hashtables, Stacks, Queues, Heaps, Sort algorithms and Search algorithms
Instructor:
Tim Buchalka
15,919 students enrolled
English More
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

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

Introduction

1
Introduction From Tim Buchalka
2
Introduction to the Course

In this video, you'll learn what we'll cover in the course.

3
JDK8 for Windows
4
JDK8 for MAC
5
JDK8 for Linux
6
IntelliJ for Windows
7
IntelliJ for MAC
8
IntelliJ for Linux
9
Introduction to Data Structures

In this video, you'll learn what a data structure is and why there are many of them.

10
Introduction to Algorithms

In this video, you'll learn what an algorithm is.

Arrays and Big-O Notation

1
Introduction to Arrays

In this video, you'll learn about what we'll cover in this section.

2
Big-O Notation

In this video, you'll learn about big-O notation.

3
A Quick Review of Arrays in Java

In this video, we'll quickly review arrays in Java.

4
Arrays in Memory

In this video, we'll take a look at arrays as a data structure.

5
Big-O Values for Array Operations

In this video, we'll take a look at the Big-O values for array operations.

Sort Algorithms

1
Introduction to Sort Algorithms

In this video, you'll learn what we'll cover in this section.

2
Bubble Sort (Theory)

In this video, you'll learn how the bubble sort algorithm works.

3
Bubble Sort (Implementation)

In this video, we'll implement the bubble sort algorithm.

4
Stable vs. Unstable Sort Algorithms

In this video, you'll learn about stable and unstable sort algorithms.

5
Selection Sort (Theory)

In this video, you'll learn how the selection sort algorithm works.

6
Selection Sort (Implementation)

In this video, we'll implement the selection sort algorithm.

7
Insertion Sort (Theory)

In this video, you'll learn how the insertion sort algorithm works.

8
Insertion Sort (Implementation)

In this video, we'll implement the insertion sort algorithm.

9
Shell Sort (Theory)

In this video, you'll learn how the shell sort algorithm works.

10
Shell Sort (Implementation)

In this video, we'll implement the shell sort algorithm.

11
Recursion

In this video, we'll review recursion and what happens when we call recursive methods.

12
Merge Sort (Theory)

In this video, you'll learn how the merge sort algorithm works.

13
Merge Sort (Implementation)

In this video, we'll implement the merge sort algorithm.

14
Quick Sort (Theory)

In this video, you'll learn how the quick sort algorithm works.

15
Quick Sort (Implementation)

In this video, we'll implement the quick sort algorithm.

16
Counting Sort (Theory)

In this video, you'll learn how the unstable counting sort algorithm works.

17
Counting Sort (Implementation)

In this video, we'll implement the unstable counting sort algorithm.

18
Radix Sort (Theory)

In this video, you'll learn how the radix sort algorithm works.

19
Stable Counting Sort (Theory)

In this video, you'll learn how to perform a stable counting sort.

20
Radix Sort (Implementation)

In this video, we'll implement the radix sort algorithm.

21
Sorting Arrays Using the JDK

In this video, we'll take a look at JDK methods you can use to sort arrays.

22
Sort Algorithms Challenge #1

In this video, you'll practice what you've learned about the merge sort algorithm.

23
Sort Algorithms Challenge #1 Solution

In this video, we'll go over the solution to the first challenge.

24
Sort Algorithms Challenge #2

In this video, you'll practice what you've learned about recursion.

25
Sort Algorithms Challenge #2 Solution

In this video, we'll go over the solution to the second challenge.

26
Sort Algorithms Challenge #3

In this video, you'll practice what you've learned about the shell sort and bubble sort algorithms.

27
Sort Algorithms Challenge #3 Solution

In this video, we'll go over the solution to the third challenge.

Lists

1
Introduction to Lists

In this video, we'll take a look at the List interface and what we'll cover in this section.

2
Abstract Data Types

In this video, you'll learn about abstract data types.

3
Array Lists

In this video, we'll take a look at the java.util.ArrayList class.

4
Vectors

In this video, we'll take a look at the java.util.Vector class.

5
Singly Linked Lists (Theory)

In this video, you'll learn about the singly linked list data structure.

6
Singly Linked Lists (Implementation)

In this video, we'll implement a singly linked list.

7
Doubly Linked Lists (Theory)

In this video, you'll learn about the doubly linked list data structure.

8
Doubly Linked Lists (Implementation)

In this video, we'll implement a doubly linked list.

9
The JDK LinkedList Class

In this video, we'll take a look at the java.util.LinkedList class.

10
Linked Lists Challenge #1

In this video, you'll practice what you've learned about doubly-linked lists.

11
Linked Lists Challenge #1 Solution

In this video, we'll go over the solution to the first challenge.

12
Linked Lists Challenge #2

In this video, you'll practice what you've learned about singly-linked lists.

13
Linked Lists Challenge #2 Solution

In this video, we'll go over the solution to the second challenge.

Stacks

1
Introduction to Stacks

In this video, you'll learn about what we'll cover in this section.

2
Stacks (Theory)

In this video, you'll learn about the stack abstract data type.

3
Stacks Implementation (Array)

In this video, we'll code a stack implementation that uses a backing array.

4
Stacks Implementation (Linked List)

In this video, we'll code a stack implementation that uses a linked list.

5
Stacks Challenge

In this video, you'll practice what you've learned about stacks

6
Stacks Challenge Solution

In this video, we'll go over the solution to the challenge

Queues

1
Introduction to Queues

In this video, you'll learn about what's coming up in the queues section.

2
Queues (Theory)

In this video, you'll learn about the queue abstract data type

3
Queues (Array Implementation)

In this video, we'll implement a queue backed by an array.

4
Circular Queue Implementation (Part One)

In this video, we'll update our queue implementation to a circular queue.

5
Circular Queue Implementation (Part Two)

In this video, we'll continue our implementation of a circular queue.

6
Queues and the JDK

In this video, we'll take a look at what's available in the JDK related to queues.

7
Queues Challenge

In this video, you'll practice what you've learned about queues.

8
Queues Challenge Solution

In this video, we'll go over the solution to the challenge.

Hashtables

1
Introduction to Hashtables

In this video, you'll learn about what's coming up in this section.

2
Hashtables (Theory)

In this video, you'll learn about how hashtables work.

3
Hashtables (Array Implementation)

In this video, we'll implement a simple hashtable.

4
Linear Probing

In this video, you'll learn how to handle collisions using linear probing.

5
Linear Probing - Removing Items

In this video, you'll learn how to handle deletions when we're using linear probing.

6
Linear Probing - Rehashing

In this video, we'll discuss two ways of completing our remove implementation.

7
Chaining

In this video, you'll learn how to handle collisions using chaining.

8
Hashtables and the JDK

In this video, we'll take a look at what's available in the JDK related to hashtables.

9
Bucket Sort (Theory)

In this video, you'll learn about the bucket sort algorithm.

10
Bucket Sort (Implementation)

In this video, we'll implement one example of the bucket sort algorithm.

11
Hashtables Challenge #1

In this video, you'll practice what you've learned about hashing functions.

12
Hashtables Challenge #1 Solution

In this video, we'll go over the solution to the first challenge.

13
Hashtables Challenge #2

In this video, you'll practice what you've learned about hashtables.

14
Hashtables Challenge #2 Solution

In this video, we'll go over the solution to the second challenge.

Search Algorithms

1
Introduction to Search Algorithms

In this video, you'll learn what we'll cover in this section.

2
Linear Search Algorithm

In this video, we'll implement the linear search algorithm.

3
Binary Search Algorithm

In this video, you'll learn how the binary search algorithm works.

4
Binary Search (Implementation)

In this video, we'll implement the binary search algorithm iteratively and recursively.

Trees

1
Introduction to Trees

In this video, you'll learn about what we'll cover in this section.

2
Trees (Theory)

In this video, you'll learn about trees and some terminology used to describe them.

3
Binary Search Trees (Theory)

In this video, you'll learn about binary search trees.

4
Binary Search Trees (Insertion)

In this video, we'll implement inserting a value into a binary search tree.

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