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

  • Status: Preview

    University of Illinois Urbana-Champaign

    Skills you'll gain: Application Specific Integrated Circuits, Hardware Design, Computer-Aided Design, Electronic Hardware, Systems Design, Electrical and Computer Engineering, Computer Engineering, Semiconductors, Network Routing, Computational Logic, Data Structures, Algorithms, Graph Theory, Linear Algebra, Applied Mathematics, Mathematical Modeling, Calculus

  • Status: Free Trial

    Skills you'll gain: Pseudocode, Algorithms, Computational Thinking, Computer Science, Data Structures, Program Development

  • Status: Free Trial

    Skills you'll gain: Data Structures, Algorithms, Computer Programming, Computational Thinking, Program Development, Technical Design, Debugging, Problem Solving, Performance Tuning

  • Skills you'll gain: Data Structures, Theoretical Computer Science, Data Storage Technologies, Algorithms, Graph Theory, File Systems, Data Access, Performance Tuning, Computer Hardware

  • Status: Free Trial

    Skills you'll gain: Computational Thinking, Algorithms, Graph Theory, Data Structures, Computer Programming, C++ (Programming Language), Object Oriented Programming (OOP)

  • Status: New
    Status: Preview

    Skills you'll gain: Algorithms, Bayesian Statistics, Theoretical Computer Science, Pseudocode, Computational Thinking, Data Structures, Graph Theory, Network Analysis, Probability, Probability & Statistics

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Bioinformatics, Data Structures, Jupyter, Python Programming, Programming Principles, Object Oriented Programming (OOP), Scripting, Data Processing, Package and Software Management, Data Manipulation, File Management

  • Status: Free Trial

    University of Pennsylvania

    Skills you'll gain: Matplotlib, Data Analysis, Pandas (Python Package), Data Visualization, Data Science, Data Cleansing, Pivot Tables And Charts, Data Visualization Software, Data Manipulation, Scatter Plots, NumPy, Data Transformation, Jupyter, Data Validation, Data Import/Export, Histogram, Python Programming, Data Structures, Programming Principles, Scripting Languages

  • Status: Free Trial

    Skills you'll gain: Data Structures, Data Manipulation, Data Access, Data Processing, Python Programming, Data Management

  • Skills you'll gain: Data Structures, Graph Theory, Python Programming, Data Manipulation, Algorithms, Debugging

  • Status: Free Trial

    Skills you'll gain: Public Key Cryptography Standards (PKCS), Cryptography, Data Structures, Algorithms, Encryption, Theoretical Computer Science, Computer Science, Computational Thinking, Data Storage Technologies, Linear Algebra, Python Programming, Arithmetic

  • Status: Preview

    Skills you'll gain: Algorithms, Technical Communication, Pseudocode, Computational Thinking, Solution Design, Programming Principles, Software Design, Theoretical Computer Science, Data Structures, Mathematical Modeling, Applied Mathematics, Computer Science