Data Structures

Data Structures are specialized formats for organizing, storing, and manipulating data on a computer. They enable efficient access and modification of data, and are fundamental to designing efficient algorithms. Coursera's data structures catalogue teaches you to understand, design, analyze and implement fundamental data structures like arrays, stacks, queues, linked lists, trees, hash tables, and graphs. You'll learn various operations on these data structures, their time and space complexities, and their applications in real-life problem-solving. Grasp the principles of data abstraction and encapsulation to enhance your computational thinking abilities and become proficient as a software engineer, data scientist, programmer, or as someone aspiring to advance in these spheres.
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Find the best Data Structures And Algorithms course for your goals

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    Codio

    Skills you'll gain: Apache Maven, JSON, JUnit, Java Programming, Java, Restful API, Integrated Development Environments, Programming Principles, Package and Software Management, Data Structures, Object Oriented Programming (OOP), Network Protocols, Unit Testing, Style Guides

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    Skills you'll gain: Javascript, Web Design and Development, HTML and CSS, Event-Driven Programming, Data Structures, Data Validation, User Interface (UI), Computer Programming, Verification And Validation, Debugging

  • Skills you'll gain: Video Game Development, Game Design, Rust (Programming Language), Algorithms, Application Programming Interface (API), Programming Principles, Application Design, Mobile Development, Data Structures, Software Development

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    Skills you'll gain: Performance Tuning, Web Development, Web Services, Web Applications, Object Oriented Design, Software Architecture, Network Security, Data Structures

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    Skills you'll gain: C++ (Programming Language), Object Oriented Programming (OOP), Video Game Development, Unreal Engine, Event-Driven Programming, Unity Engine, C# (Programming Language), Software Design Patterns, UI Components, Programming Principles, Debugging, File Management, Data Structures

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