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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Results for "data structures and algorithms"

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    Packt

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    Beginner · Course · 1 - 3 Months

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    Northeastern University

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  • Status: New
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    EDUCBA

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    Mixed · Course · 1 - 3 Months

  • Status: Free Trial

    Stanford University

    Skills you'll gain: Algorithms, Graph Theory, Theoretical Computer Science, Computational Thinking, Data Structures, Pseudocode, Operations Research

    4.8
    Rating, 4.8 out of 5 stars
    828 reviews

    Intermediate · Course · 1 - 4 Weeks

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    LearnQuest

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    4.6
    Rating, 4.6 out of 5 stars
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    Duke University

    Skills you'll gain: Maintainability, Program Development, C (Programming Language), Software Engineering, System Programming, Programming Principles, Software Development, Simulations, Command-Line Interface, Operating Systems, User Interface (UI), Interactive Design, Data Structures, Debugging, File Management

    4.3
    Rating, 4.3 out of 5 stars
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    Dartmouth College

    Skills you'll gain: C (Programming Language), Embedded Systems, Computer Engineering, Embedded Software, System Programming, Computer Science, Computer Programming, Operating Systems, Visualization (Computer Graphics), Data Structures, Linux

    4.7
    Rating, 4.7 out of 5 stars
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    LearnQuest

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    Rating, 4.5 out of 5 stars
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    Intermediate · Course · 1 - 4 Weeks

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