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    • Computational Linguistics

    Computational Linguistics Courses Online

    Explore computational linguistics for natural language processing. Learn to develop algorithms for language analysis and machine translation.

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    Explore the Computational Linguistics Course Catalog

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Digital Innovation: How to Build Digital Processes

      Skills you'll gain: Innovation, Digital Transformation, Digital Communications, Business Transformation, Data Storage, Media and Communications, Virtual Teams, Computational Thinking, Artificial Intelligence, Information Privacy, Scalability, Machine Learning

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Foundations of Data Structures and Algorithm Analysis

      Skills you'll gain: Graph Theory, Data Structures, Algorithms, Program Development, Network Analysis, Programming Principles, Computational Thinking, Theoretical Computer Science, Computer Science, Python Programming, Object Oriented Programming (OOP)

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      C

      Codio

      C++: Non-Linear Data Structures

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

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Kotlin For Beginners: Data Types and Conditional Expressions

      Skills you'll gain: Kotlin, Application Development, Software Documentation, Programming Principles, Program Development, Data Validation, Computational Logic, Data Mapping

      Beginner · Guided Project · Less Than 2 Hours

    • B

      Birla Institute of Technology & Science, Pilani

      Introduction to Computing Systems

      Skills you'll gain: Microarchitecture, Computer Architecture, Computational Logic, Computer Systems, Computer Science, Programming Principles, Embedded Systems, Computer Hardware, Digital Design, Data Storage, Algorithms

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      Illinois Tech

      Bayesian Computational Statistics

      Skills you'll gain: Bayesian Statistics, Data Analysis, Statistical Inference, Regression Analysis, Statistical Methods, Statistical Analysis, Statistical Modeling, Statistical Programming, Statistical Software, R Programming, Markov Model, Probability, Simulations, Probability Distribution

      Build toward a degree

      Intermediate · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Introduction to Reproducibility in Cancer Informatics

      Skills you'll gain: Package and Software Management, Code Review, Open Source Technology, GitHub, Scientific Methods, Bioinformatics, Technical Documentation, Data Analysis, Programming Principles, Jupyter, Rmarkdown, Git (Version Control System), Integrated Development Environments

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      U

      University of Colorado Boulder

      Temporal Logic Model Checking

      Skills you'll gain: Computational Logic, Systems Architecture, Verification And Validation, Systems Design, Software Architecture, Theoretical Computer Science, Digital Communications, Simulations, Algorithms, Safety and Security

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Computational Thinking for K-12 Educators: Abstraction, Methods, and Lists

      Skills you'll gain: Computational Thinking, Debugging, Programming Principles, Technical Communication, Computer Programming, Event-Driven Programming, Program Development, Data Structures, Algorithms, Student Engagement, Graphical Tools

      Beginner · Course · 1 - 3 Months

    • U

      UBITS

      Programar desde cero en pseudocódigo

      Skills you'll gain: Computational Thinking, Pseudocode, Algorithms, Programming Principles, Computer Programming, Computer Programming Tools

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Data Structures for Designers Using Python

      Skills you'll gain: Object Oriented Programming (OOP), Software Design, Technical Design, Data Structures, Visualization (Computer Graphics), Programming Principles, Computer Programming, Computer Graphics, Python Programming, Algorithms, Simulations

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Process Map Data using C++ Adjacency List Shortest Path

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

      Intermediate · Guided Project · Less Than 2 Hours

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    In summary, here are 10 of our most popular computational linguistics courses

    • Digital Innovation: How to Build Digital Processes: University of California, Davis
    • Foundations of Data Structures and Algorithm Analysis: Packt
    • C++: Non-Linear Data Structures: Codio
    • Kotlin For Beginners: Data Types and Conditional Expressions: Coursera Project Network
    • Introduction to Computing Systems: Birla Institute of Technology & Science, Pilani
    • Bayesian Computational Statistics: Illinois Tech
    • Introduction to Reproducibility in Cancer Informatics: Johns Hopkins University
    • Temporal Logic Model Checking : University of Colorado Boulder
    • Computational Thinking for K-12 Educators: Abstraction, Methods, and Lists: University of California San Diego
    • Programar desde cero en pseudocódigo: UBITS

    Skills you can learn in Mobile And Web Development

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    Android Software Development (7)
    CSS (6)
    Programming Language (6)
    Web Application (6)
    Android Studio (5)
    Angularjs (5)
    Computer Program (5)

    Frequently Asked Questions about Computational Linguistics

    Computational linguistics is the study of computer modeling of human language. This scientific field develops computational models for linguistic patterns and structures. In today's world, applications of computational linguistics fall into two categories: using computers to explain linguistic phenomena and developing systems for computers to process language. Computational linguists work to make computers understand both written and spoken language, and they produce technologies that allow humans and computers to communicate with each other linguistically using speech or language systems like artificial intelligence, text-to-speech translators, and automated voice responses.‎

    Computational linguistics is a worthwhile field of study because we use computers increasingly in our modern world, and computers that understand and use human language can help us make the best use of technology. Because language is such a versatile means of communication, computers that can communicate using written or spoken language can become more effective. If you're interested in helping make interactions with machines easier, you'll enjoy the challenges of computational linguistics, and as technology continues to advance, you can develop newer and more sophisticated ways for computers to communicate.‎

    When you're interested in a career in computational linguistics, you'll find plenty of opportunities for work as a computational linguist or engineer. You can find jobs helping program the next generation of artificial intelligence, or you can work as a language engineer or machine learning engineer. Your computational linguistics skills can come in handy developing apps that aid in research, web searches, or translation. You might even be able to program video games that make better use of human speech or help someone who can't speak learn to communicate.‎

    Online courses on Coursera offer you opportunities to learn computational linguistics concepts and skills that are relevant to the real world, such as the philosophies behind language learning and how to program a computer to understand more than one human language or dialect. You might also learn about TensorFlow for NLP to discover the semantic similarities in texts, natural language processing with vector spaces, and sequence models in AI.‎

    Online Computational Linguistics courses offer a convenient and flexible way to enhance your knowledge or learn new Computational Linguistics skills. Choose from a wide range of Computational Linguistics courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Computational Linguistics, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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