Data Structures and Algorithms: Deep Dive Using Java
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.
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.
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
- 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?
Is available on ios?
- Lectures 116
- Quizzes 0
- Exercises 0
- Duration 16 hours
- Skill level Intermediate Level
- Students 22406
- Last Updated October, 2019
Arrays and Big-O Notation
Extra Information - Source code, and other stuff
2 days ago
This is completely helping me to understand what is going on in class. I feel like purchasing multiple!
4 days ago
Great explained, I really like that we first learn the theory and then we see how to implement it.
1 week ago
This course is very detailed and the way Sarah took us through each algorithm by explaining each and every step is very helpful. I would highly recommend this course to those who want to get a head start on Data Structures and Algorithm's using Java.
2 weeks ago
The JDK installation can't be accomplish in the way that is described for Linux users. I had this error when I've tried: Oracle Java downloads now require logging in to an Oracle account to download Java updates, like the latest Oracle Java 8u211 / Java SE 8u212. Because of this I cannot update the PPA with the latest Java (and the old links were broken by Oracle). For this reason, THIS PPA IS DISCONTINUED (unless I find some way around this limitation). Oracle Java (JDK) Installer (automatically downloads and installs Oracle JDK8). There are no actual Java files in this PPA.
2 weeks ago
Some more video visual could help real time understanding more
2 weeks ago
Fabulous course. Much easier than following in class lectures or reading books. I am going to finish it and practice all the concepts.
2 weeks ago
pronunciation and voice is very clear, easy to follow ( by also reading text subtitles, I do have hearing loss), explanations and slides are clear, and tempo is good; it explains from start, to novices.
3 weeks ago
So far its simple and easy
3 weeks ago
The way big (O) notation is explained, this is the first time I am actually getting a hold of what time complexity is and how to measure it. Till now, I used to go with a gut feeling for the time complexity, to be frank. This explanation is what I was looking for all these years.
3 weeks ago
very clear animations of the data structure and algorithms, the person has a clear voice