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Data Structures and Algorithms with Java

Master Java Programming & Data Structures

Data Structures and Algorithms with Java

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What you'll learn
  • Core Java Programming – Syntax, data types, control structures, functions, and exception handling.
  • Object-Oriented Programming (OOP) – Concepts like classes, objects, inheritance, polymorphism, abstraction, and encapsulation in Java.
  • Design Principles – Industry-standard principles such as SOLID, DRY, KISS, and YAGNI to write clean, maintainable code.
  • Design Patterns & Machine Coding – Introduction to common design patterns and how to approach machine coding rounds in interviews.
  • Linear Data Structures – Implementation and use cases of Arrays, ArrayLists, LinkedLists, Stacks, Queues, and HashMaps in Java.
  • Non-Linear Data Structures – Understanding Trees (BST, AVL), Heaps (Min/Max), Tries, and Graphs along with traversal algorithms like DFS and BFS.
  • Bit Manipulation – In-depth understanding of how bits work, including binary-decimal conversions and low-level operations.
  • Space and Time Complexity – Learn how to analyze the efficiency of your code using Big-O notation.