Algorithms Data Structures in Java #1 (+INTERVIEW QUESTIONS) (Udemy.com)

After a wide range of working experience I tend to forget the basic concepts it is always better to take a step back (on a good note) to learn what is necessary. With that in mind this course is best suited to refresh the memory on the Algorithms and Data Structures in Java.

The explanation was really good and i have to appreciate you for the time taken to make the implementation videos of all the data structures and explaining the methods you have instantiated and also please include CIRCULAR LINKED LIST in the Linked List segment. Thankyou so much for the course and make more courses like these.

I am in the middle of this course but I had to stop just to write how amazed I am by this teacher. I was extremly bad at algorithms, I would say beyond hopeless. I tried to learn from a popular paid website ( I don't want to name it, but it's advertised by Youtube) but it's a joke compared to what this teacher can teach you for such low price. I wouldn't even give his courses on algorithms 5 stars, I would give them 6 stars. Finally someone who teaches how to implement algorithms from scratch (and not copying and pasting the java libraries), someone who teaches algorithmic thinking and not only java syntax, someone who explains WHEN to use a certain data structure and algorithm and WHY. I can't get people who are complaining, because I didn't found any better course in the whole internet world so far. I'm waiting for more courses (maybe more on C++). So far, thank you teacher!

It's Amazing but it will be good f you let us understant the programming of B-Tree because it would become very difficult for me to implement. But I learn a lots of things. Fot all of your efforts for bringing this course on Udemy. Thank You!

Superb course. The coverage is thorough and Big O notation is discussed. The workings and intentions of the algorithms and data structures are clearly explained along with their trade offs, they are then fully implemented. Bonus sections have been added since I bought this course. Best of all there are interview questions and the solutions are discussed. A very nice addition. You need some knowledge of java or c# (the former is used throughout). I set the video quality to 720p on my smaller second monitor to get the best view overriding the 1080 auto setting. The fonts although small were easily legible this way. As a native English speaker I had no problem understanding what the instructor was saying. Holczer clearly has a passion for algorithms and is very knowledgeable, he has a gift for teaching what can be a difficult subject. Highly recommended. Thank you for putting this course together!

This course is the perfect way to jump from the basic level courses that you can find everywhere to the most advanced ones that are almost impossible to understand after you have completed the basic ones. The explanations are very clear, and the abstract data types are perfectly connected with the data structures that implement them. Can one ask more? Yes: the instructor answers the questions in less than two days!!!! Update: Since I am following Holczer Balazs courses, my CS grades have increased considerably.

Excellent Course to get anyone interested in Data Structures. I liked the detailed coverage on Trees. A complimentary course to highlight real-world examples and scenarios using the DS discussed would be great. Already, there are courses- Advanced Algorithms and Algorithmic Problems by the same author which have good implementation examples.

Really great course! I wanna thank the instructor for his time and attention to detail! I will be taking many more courses with this instructor. This class will most certainly provide you will a very solid foundation in the most popular and algorithms and data structures, more so than what you would find in a university environment.!

This is awesome because the videos integrate theoretical concepts and practical-based learning together in a visible manner. 1) In postgraduate courses, these are done separately between lectures and workshop tutorials. Sometimes, materials are not presented coherently and coordinated. 2) Self-paced experimental learning (by doing) lacks theoretical underpinning of "WHY". 3) Reading (good) book is slow and not interactive. Sometimes, they are also not straight to the point. "Missing tree from jungle" is common. The strength is that the materials presented are properly referenced and checked. Since this is algorithm and programming subject, in my view this delivery format is the most appropriate because it can always be verified (by coding the results) anyway. Thank you.

Too many updates on the lessons, due to wrongful implementations. The course is useful, but it's hard to follow because the examples (and code) are changing. Also, I think the spoken English must be improved, to provide a better learning experience.