Java + DSA + Interview Preparation Course
Description
This comprehensive Data Structures and Algorithms (DSA) course is meticulously designed to guide learners from foundational concepts to advanced techniques using Java, with a clear focus on preparing for FAANG (Facebook, Amazon, Apple, Netflix, Google) interviews. It begins by establishing the importance of DSA in the tech industry, offering insights into interview strategies and effective use of platforms like LeetCode. The course is structured to build confidence step-by-step, ensuring that even those new to programming can grasp the material, while also providing depth for intermediate and advanced learners seeking to refine their skills.
The curriculum starts with an introduction to essential tools and concepts, including Git and GitHub for version control, and covers basic programming principles such as flowcharts and pseudocode. As you progress, you'll dive into Java programming, learning about installation, syntax, data types, control structures, loops, and functions. This solid foundation sets the stage for exploring core data structures like arrays and ArrayLists, along with fundamental algorithms such as linear search and binary search, complete with theory, code implementations, and interview questions.
A significant portion of the course is dedicated to sorting algorithms, including bubble, selection, insertion, and cycle sort, emphasizing both theory and practical coding. You'll also tackle string manipulation and pattern-solving techniques, which are crucial for coding interviews. The course then delves deep into recursion and complexity analysis, covering topics from basic recursion to advanced problems, time and space complexity using Big O notation, and related mathematical concepts. This is followed by an extensive module on Object-Oriented Programming (OOP) in Java, where you'll learn about classes, objects, inheritance, polymorphism, encapsulation, abstraction, and more, including advanced features like generics and collections.
Moving to linear data structures, the course covers linked lists (singly, doubly, circular), stacks, and queues, with hands-on implementations and interview questions. A practical project on building a Tic Tac Toe game reinforces these concepts. Finally, the course explores advanced data structures such as binary trees, AVL trees, segment trees, heaps, and hashmaps, along with algorithms like Huffman coding and various sorting techniques. Throughout, it integrates real-world interview questions from top companies, providing targeted preparation for technical screenings.
Key Points Covered in This Course:
- Introduction to DSA and strategies for clearing FAANG interviews, including tips on using LeetCode effectively.
- Basic programming skills with Git, GitHub, flowcharts, and pseudocode to manage and plan code.
- Core Java programming: from installation and first programs to functions, data types, and debugging.
- Arrays, ArrayLists, and search algorithms like linear search and binary search, with coding practice.
- Sorting algorithms including bubble sort, selection sort, insertion sort, and cycle sort, with theory and implementation.
- String manipulation and pattern-solving techniques to tackle common coding problems.
- Recursion concepts, from basics to advanced applications, and analysis of time and space complexity.
- Object-Oriented Programming in Java: principles, classes, objects, inheritance, polymorphism, and more.
- Linear data structures: linked lists, stacks, and queues, with code examples and interview questions.
- Practical project: Building a Tic Tac Toe game in Java to apply learned concepts.
- Advanced data structures: binary trees, AVL trees, segment trees, heaps, hashmaps, and related algorithms.
- Algorithm techniques such as Karp-Rabin string matching, count sort, radix sort, and Huffman coding.
- Extensive interview preparation with FAANG-level questions on various data structures and algorithms.
The curriculum starts with an introduction to essential tools and concepts, including Git and GitHub for version control, and covers basic programming principles such as flowcharts and pseudocode. As you progress, you'll dive into Java programming, learning about installation, syntax, data types, control structures, loops, and functions. This solid foundation sets the stage for exploring core data structures like arrays and ArrayLists, along with fundamental algorithms such as linear search and binary search, complete with theory, code implementations, and interview questions.
A significant portion of the course is dedicated to sorting algorithms, including bubble, selection, insertion, and cycle sort, emphasizing both theory and practical coding. You'll also tackle string manipulation and pattern-solving techniques, which are crucial for coding interviews. The course then delves deep into recursion and complexity analysis, covering topics from basic recursion to advanced problems, time and space complexity using Big O notation, and related mathematical concepts. This is followed by an extensive module on Object-Oriented Programming (OOP) in Java, where you'll learn about classes, objects, inheritance, polymorphism, encapsulation, abstraction, and more, including advanced features like generics and collections.
Moving to linear data structures, the course covers linked lists (singly, doubly, circular), stacks, and queues, with hands-on implementations and interview questions. A practical project on building a Tic Tac Toe game reinforces these concepts. Finally, the course explores advanced data structures such as binary trees, AVL trees, segment trees, heaps, and hashmaps, along with algorithms like Huffman coding and various sorting techniques. Throughout, it integrates real-world interview questions from top companies, providing targeted preparation for technical screenings.
Key Points Covered in This Course:
- Introduction to DSA and strategies for clearing FAANG interviews, including tips on using LeetCode effectively.
- Basic programming skills with Git, GitHub, flowcharts, and pseudocode to manage and plan code.
- Core Java programming: from installation and first programs to functions, data types, and debugging.
- Arrays, ArrayLists, and search algorithms like linear search and binary search, with coding practice.
- Sorting algorithms including bubble sort, selection sort, insertion sort, and cycle sort, with theory and implementation.
- String manipulation and pattern-solving techniques to tackle common coding problems.
- Recursion concepts, from basics to advanced applications, and analysis of time and space complexity.
- Object-Oriented Programming in Java: principles, classes, objects, inheritance, polymorphism, and more.
- Linear data structures: linked lists, stacks, and queues, with code examples and interview questions.
- Practical project: Building a Tic Tac Toe game in Java to apply learned concepts.
- Advanced data structures: binary trees, AVL trees, segment trees, heaps, hashmaps, and related algorithms.
- Algorithm techniques such as Karp-Rabin string matching, count sort, radix sort, and Huffman coding.
- Extensive interview preparation with FAANG-level questions on various data structures and algorithms.
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