Algorithms Data Structures in Java #2 (+INTERVIEW QUESTIONS)

🎓 Course Title: Algorithms Data Structures in Java #2 (+INTERVIEW QUESTions)

Unlock the World of Algorithms and Data Structures with Java!
🚀 Instructor: Holczer Balazs
📚 Your Journey to Mastery: This comprehensive course is designed to take approximately 12 hours to complete, offering you a deep dive into the realms of data structures and algorithms implemented in Java. While the focus is on Java, the concepts are explained in a way that can be easily adapted for other programming languages like C++ or Python. To truly master these topics, it's highly recommended that you manually type out these data structures multiple times. This hands-on experience will solidify your understanding and proficiency.
🔍 Who is this course for?
This course is ideal for intermediate programmers who have a grasp of basic programming concepts and are looking to deepen their knowledge of algorithms and data structures. It's also an excellent resource for those preparing for technical interviews, as it covers essential interview questions and problems.

🔑 Tries Data Structures

Tries, also known as prefix trees, are a tree-based data structure used to store keys (strings) where the keys are composed of n characters from an alphabet. We'll explore their operations, including insertion, sorting, and autocomplete features, and how they solve the longest common prefix problem. You'll also discover how tries are applied in real-world scenarios like networking (IP routing) and games such as Boggle.

🌳 Ternary Search Trees

Why use tries when you can use ternary search trees? We'll address the limitations of tries and introduce you to the concept of ternary search trees, which are particularly well-suited for problems where you have a finite set of symbols. We'll cover basic operations like insertion and retrieval and delve into their applications, including the Boggle Game and IP routing.

🔍 Substring Search Algorithms

Searching for substrings within strings is a crucial operation in computer science. In this section, we'll examine various algorithms to perform substring searches efficiently. We'll explore the brute-force approach and sophisticated techniques like the Z algorithm, Rabin-Karp algorithm, and Knuth-Morris-Pratt (KMP) algorithm, which uses hashing to speed up the search.

🎨 Strings in Java

Understanding strings in Java is essential for any programmer. We'll discuss the String Constant Pool, prefixes and suffixes, and common problems like finding the longest common prefix and the longest repeated substring. We'll also cover advanced string manipulation techniques and data structures like suffix tries and suffix arrays.

📈 Sorting Algorithms

Sorting is a fundamental aspect of computing. We'll cover basic sorting algorithms such as bubble sort, selection sort, insertion sort, and shell sort. You'll learn about more advanced sorting algorithms like quicksort and mergesort, and understand the difference between comparison-based and non-comparison-based approaches. We'll also dive into string sorting algorithms, bucket sort, and radix sort.

🤫 Data Compression Algorithms

Data compression is a technique used to represent information using fewer bits, optimizing storage and transmission. In this section, we'll cover run-length encoding, Huffman encoding, and the Lempel-Ziv-Welch (LZW) algorithm. You'll learn how these techniques can significantly reduce the size of data and improve performance in real-world applications.

Why Take This Course?
This course is not just about learning algorithms and data structures; it's about understanding the practical applications that make these concepts so powerful. By the end of this course, you'll have a robust understanding of how to implement and apply these data structures and algorithms in real-world scenarios, which will set you apart as a programmer.

🎓 Get ready to enhance your coding skills and prepare for technical interviews with this comprehensive, hands-on course on Algorithms Data Structures in Java #2!
Let's embark on this learning adventure together! 🚀