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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    Skills you'll gain: Data Pipelines, Rust (Programming Language), Restful API, Amazon Web Services, Cloud API, Data Structures, Secure Coding, Data Processing, API Gateway, Cloud Applications, Real Time Data, Data Manipulation, Amazon S3, System Programming, Cryptography, Encryption, Python Programming, Command-Line Interface, Software Testing

  • Skills you'll gain: Geometry, Algorithms, Computer Graphics, Data Structures, Graph Theory, Spatial Data Analysis, Computational Thinking, Geographic Information Systems, Pseudocode, Theoretical Computer Science, Spatial Analysis

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    University of Leeds

    Skills you'll gain: Jupyter, Programming Principles, Computer Programming, Python Programming, Development Environment, Software Installation, Data Structures, Data Science, Software Documentation, Debugging

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    Pontificia Universidad Católica de Chile

    Skills you'll gain: Object Oriented Programming (OOP), Data Structures, Algorithms, Computer Programming, Programming Principles, Computational Thinking, Python Programming, Analysis

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    Skills you'll gain: Exploratory Data Analysis, Time Series Analysis and Forecasting, Probability Distribution, Data Analysis, Data Wrangling, Probability & Statistics, Unsupervised Learning, Data Science, Text Mining, Data Manipulation, Statistical Analysis, Data Structures, Data Cleansing, Data Visualization Software, Python Programming

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    Skills you'll gain: Matplotlib, NumPy, Plot (Graphics), Pandas (Python Package), Data Structures, Data Visualization Software, Data Analysis, Python Programming, File Management, Data Manipulation, Exploratory Data Analysis, Data Import/Export, Computer Programming

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    Skills you'll gain: NumPy, Data Structures, Data Analysis, Object Oriented Programming (OOP), Image Analysis, Data Science, Data Wrangling, Data Manipulation, Big Data, Performance Tuning, Python Programming

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    Skills you'll gain: Computational Thinking, Data Analysis, Analysis, C (Programming Language), Programming Principles, Data Structures, Descriptive Statistics, Data Visualization Software

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

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    Ball State University

    Skills you'll gain: Data Ethics, Data Collection, Probability & Statistics, Data Processing, Sampling (Statistics), Data Science, Data Wrangling, R Programming, Simulations, Data Manipulation, Statistical Methods, Machine Learning Algorithms, Responsible AI, Data Structures

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    Skills you'll gain: Web Scraping, MySQL, SQL, JSON, Scripting, Data Manipulation, Data Structures, Query Languages, Database Management, Databases, Data Import/Export, Data Storage Technologies, Spatial Analysis, Python Programming

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    Skills you'll gain: C (Programming Language), Embedded Systems, Data Structures, Algorithms, Computer Programming, Linux, Computer Programming Tools, Development Environment, Debugging, Software Development Tools