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"

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    University of California, Irvine

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    Ball State University

    Skills you'll gain: Data Analysis, Programming Principles, Statistical Analysis, Computer Programming, Python Programming, Natural Language Processing, Scripting, NumPy, Algorithms, Debugging, Data Structures

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    Skills you'll gain: Unified Modeling Language, Visual Basic (Programming Language), Database Management, System Software, Databases, Relational Databases, Algorithms, Computer Architecture, Network Security, Computer Hardware, SQL, Computer Science, Development Environment, Data Structures, Object Oriented Programming (OOP), Object Oriented Design, Program Development, Computer Programming, Data Modeling, Microsoft Development Tools

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    University of California, Irvine

    Skills you'll gain: Blockchain, Cryptography, Data Integrity, Encryption, FinTech, Network Security, Transaction Processing, Data Structures, Emerging Technologies

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    Skills you'll gain: Debugging, Unit Testing, Relational Databases, Object Oriented Programming (OOP), Data Transformation, Databases, Data Visualization Software, Object Oriented Design, Web Scraping, Data Science, Creative Design, Data Structures, Scatter Plots, Programming Principles, Integrated Development Environments, Python Programming, Development Testing, Computer Programming, Program Development, Diversity and Inclusion

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