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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

    • I

      IBM

      z/Architecture Assembler Language Pt 2: Machine Instructions

      Skills you'll gain: z/OS, Computer Architecture, Mainframe Computing, System Programming, Computer Programming, Computational Logic, Data Storage, Job Control Language (JCL)

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      A

      Arizona State University

      Dark Data Migration and Architecture

      Skills you'll gain: Data Transformation, Data Literacy, Engineering Management, Data-Driven Decision-Making, Computational Thinking, Exploratory Data Analysis, Data Integration, Capacity Management, Data Analysis, Decision Making, Data Modeling, Data Quality, Strategic Decision-Making, Data Strategy, Data Management, Unstructured Data, Complex Problem Solving, Design Thinking, Data Storage, Data Access

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Glasgow

      Computational Thinking with JavaScript 3:Organise & Interact

      Skills you'll gain: Javascript, HTML and CSS, Web Design and Development, Web Development, Web Applications, Front-End Web Development, Event-Driven Programming, Computational Thinking, Software Testing, Software Development, Development Testing, Software Development Tools, Development Environment, Debugging, Computer Graphics, Animations

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      A

      Arizona State University

      Dark Data Basics - Understanding the Unknown

      Skills you'll gain: Computational Thinking, Data Strategy, Unstructured Data, Data Storage, Data Access, Data Literacy, Data Analysis, Data Management, Data Collection

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Omnibond: Creating an HPC Environment in Google Cloud with CloudyCluster

      Skills you'll gain: Google Cloud Platform, Cloud Computing, Cloud Infrastructure, Computing Platforms, Jupyter, System Configuration

      Beginner · Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      S

      Scrimba

      Algorithm Interview Practice for Junior Developers

      Skills you'll gain: Algorithms, Data Structures, Javascript, Computational Thinking, Program Development, Computer Programming

      Intermediate · Course · 1 - 4 Weeks

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

      Packt

      Advanced Data Structures and Algorithms

      Skills you'll gain: Data Structures, Algorithms, Programming Principles, Computer Programming, Computational Thinking, Performance Tuning

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      Scrimba

      The Merge Sort Algorithm

      Skills you'll gain: Software Design Patterns, Software Design, Computational Thinking, Algorithms, Computer Programming, Software Development, Data Structures, Computer Science

      Advanced · Course · 1 - 4 Weeks

    • Status: New
      New
      S

      Simplilearn

      Advanced Prompt Engineering Course

      Skills you'll gain: Prompt Engineering, Generative AI, Large Language Modeling, OpenAI, Data Synthesis

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Data Science Decisions in Time:Sequential Hypothesis Testing

      Skills you'll gain: Bioinformatics, Image Analysis, Bayesian Statistics, Data Science, Data-Driven Decision-Making, Computational Thinking, Machine Learning Methods, Statistical Hypothesis Testing, Medical Science and Research, A/B Testing, Statistical Methods, Computer Vision, Algorithms, Magnetic Resonance Imaging, Program Development, Probability Distribution, Medical Imaging

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Glasgow

      Computational Thinking with JavaScript 4: Create & Deploy

      Skills you'll gain: Application Deployment, Application Development, Code Review, Software Development, Prototyping, Integrated Development Environments, Web Applications, JavaScript Frameworks, Software Engineering, Javascript, Computational Thinking

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Designing Larger Python Programs for Data Science

      Skills you'll gain: Python Programming, Simulations, Debugging, Statistical Methods, Pandas (Python Package), Program Development, Unit Testing, Test Case, Data Science, Development Testing, Software Design, Computational Thinking, Integration Testing, Computer Programming, Data Manipulation, Data Structures, Data Cleansing, Data Analysis, Software Engineering, Systems Integration

      Beginner · Course · 1 - 4 Weeks

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

    • z/Architecture Assembler Language Pt 2: Machine Instructions: IBM
    • Dark Data Migration and Architecture: Arizona State University
    • Computational Thinking with JavaScript 3:Organise & Interact: University of Glasgow
    • Dark Data Basics - Understanding the Unknown: Arizona State University
    • Omnibond: Creating an HPC Environment in Google Cloud with CloudyCluster: Google Cloud
    • Algorithm Interview Practice for Junior Developers: Scrimba
    • Advanced Data Structures and Algorithms: Packt
    • The Merge Sort Algorithm: Scrimba
    • Advanced Prompt Engineering Course: Simplilearn
    • Data Science Decisions in Time:Sequential Hypothesis Testing: Johns Hopkins University

    Skills you can learn in Mobile And Web Development

    Web (13)
    Mobile App (9)
    Javascript (8)
    Mobile Application Development (8)
    Web Development (8)
    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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