Udemy – Java Data Structures and Algorithms Masterclass 2024-10
Udemy – Java Data Structures and Algorithms Masterclass 2024-10 Downloadly IRSpace
Java Data Structures and Algorithms Masterclass is a training course on data structures and algorithms from the basics and review and answer interview questions of selected companies. Learning Java is one of the fastest ways to expand your career prospects, as Java is known as one of the most sought after technologies. This course will help you get all the details you need to understand data structures and how to use algorithms in high-level programming languages.
So it does not matter if your goal is to learn in depth one of the world’s top programming languages, to learn the basics of algorithms, data structures and performance analysis, or even to learn techniques for answering corporate interview questions; This course is perfect for you.
What you will learn in the Java Data Structures and Algorithms Masterclass course:
- Learn, apply and use a variety of data structures
- Learn, apply and use algorithms
- Become a better developer by mastering the basics of computer science
- Learn everything you need to excel in difficult coding interviews.
- Complexity of time and space of data structures and algorithms
- Recursion
- Big O
- Dynamic programming
- Segmentation and learning algorithms
- Graph algorithms
- Greedy algorithms
Course specifications
- Publisher : Udemy
- Teacher : Elshad Karimov
- Language: English
- Level : All Levels
- Lectures : 442
- Duration : 46 hours and 35 minutes
Course topics

Course prerequisites:
Basic Java Programming skills
Pictures

Sample film
Installation guide
After Extract, watch with your favorite Player.
Subtitle: English
Quality: 720p
Changes:
Version 2022/7 compared to 2021/5 has increased the number of 14 lessons and the duration of 6 minutes.
Version 2024/1 compared to 2022/7 has increased the number of 12 lessons and the duration of 1 hours and 5 minutes.
The 2024/10 version has increased the number of lessons by 3 and the duration by 7 minutes compared to 2024/1.
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Size
5.38 GB
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