Overview
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This specialization features Coursera Coach!
A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the specialization.
This specialization will equip you with the skills to master data structures and algorithms in Java, essential for acing coding challenges like those on LeetCode. You will learn to design efficient algorithms, solve complex problems, and understand core principles behind data structures like arrays, linked lists, trees, and stacks.
The course begins with an introduction to Java programming, covering input/output operations and debugging. You'll then explore core data structures, including arrays, ArrayLists, and multidimensional arrays. The course also covers advanced topics such as bitwise operations, recursion, and sorting algorithms, followed by more complex structures like linked lists, binary trees, and binary search trees. LeetCode problems will reinforce these concepts throughout.
This specialization is ideal for intermediate learners with basic programming knowledge, especially those preparing for technical interviews or aiming to strengthen their understanding of algorithms. By the end, you’ll be able to solve coding problems efficiently, optimize algorithms, and confidently approach technical challenges.
Syllabus
- Course 1: Foundations of Programming and Java Essentials
- Course 2: Sorting Algorithms, Complexity Analysis, and Optimization
- Course 3: Advanced Concepts in Recursion, Backtracking, and OOP
Courses
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This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. In this course, you will explore advanced topics in recursion, backtracking, and object-oriented programming (OOP). You’ll dive deep into recursive techniques, starting with basic problems like Fibonacci numbers and binary search, and advancing to more complex challenges like quick sort, merge sort, and maze solving. Through various problem-solving exercises, you'll master recursion’s power to simplify problem-solving and improve efficiency. The course also covers the powerful technique of backtracking, emphasizing how to solve constraint satisfaction problems like Sudoku. You’ll then transition to object-oriented programming, learning about classes, objects, inheritance, encapsulation, and polymorphism—core principles that underpin modern software design. Additionally, the course explores data structures such as linked lists, stacks, queues, and binary trees, with a focus on their application in solving real-world problems. By working through a series of LeetCode problems, you’ll develop a strong grasp of algorithmic thinking and efficient coding techniques, including recursion, backtracking, and OOP. By the end of the course, you will be able to implement advanced recursion techniques, solve backtracking problems, apply object-oriented principles in code, and work with essential data structures like linked lists and binary trees to solve complex algorithmic challenges.
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This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. In this comprehensive course, you will lay the foundation for programming and Java essentials, gaining hands-on experience in writing code, debugging, and utilizing various Java tools. By the end, you will have a solid understanding of core concepts such as variables, loops, conditionals, functions, arrays, and object-oriented programming principles. The course takes you step-by-step through the world of programming, beginning with an introduction to programming languages and the fundamentals of Java. You will explore core programming structures such as flowcharts, pseudocode, and Java's syntax, followed by practical lessons in input/output methods, debugging, and working with data types. As you progress, you'll dive into advanced topics like arrays, multidimensional arrays, bitwise operators, and algorithmic techniques. You'll also tackle common coding problems using algorithms like linear and binary search, and enhance your skills with practical LeetCode exercises. These challenges help reinforce your knowledge and allow you to refine your problem-solving techniques. By the end of the course, you will be able to write modular Java programs using essential programming concepts, debug errors, manipulate data with arrays and ArrayLists, and implement core algorithms like searching and sorting. This course is designed for beginners with no prior experience and provides a strong foundation in Java programming that will serve as the basis for further learning.
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This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. In this course, you'll dive deep into essential sorting algorithms and understand their time and space complexities. You’ll learn both basic algorithms like Bubble Sort and Insertion Sort, as well as more efficient ones like Cycle Sort. By studying various problems and working through real-world examples, you’ll gain insights into when and how to choose the best sorting method for a given problem. The course progresses through a series of algorithms, each with an in-depth explanation of its mechanics and implementation. You’ll not only learn how to execute these algorithms but also explore optimizations to improve performance. Key challenges such as finding duplicates, missing numbers, and solving pattern-based questions will sharpen your problem-solving skills. Furthermore, understanding how to analyze the efficiency of these algorithms is emphasized with a focus on time and space complexity analysis. It’s ideal for learners interested in computer science and data structures, particularly those who want to improve their problem-solving skills in algorithm design and optimization. The course requires no prior experience, though familiarity with basic programming concepts will be helpful. By the end of the course, you will be able to implement key sorting algorithms, analyze their time and space complexities, optimize algorithms for better performance, and apply mathematical concepts to data structures and algorithm problems.
Taught by
Packt - Course Instructors