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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 Colorado Boulder

      Engineering Genetic Circuits: Abstraction Methods

      Skills you'll gain: Markov Model, Mathematical Modeling, Engineering Analysis, Computational Thinking, Electrical and Computer Engineering, Systems Analysis, Failure Analysis, Simulation and Simulation Software, Probability, Differential Equations, Chemical and Biomedical Engineering

      Build toward a degree

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Blocks-based ABM with NetTango

      Skills you'll gain: Simulations, Education Software and Technology, Computer Programming Tools, Computational Thinking, Data Sharing, Program Development, Computer Programming, UI Components

      Advanced · Guided Project · Less Than 2 Hours

    • Status: New
      New
      Status: Free Trial
      Free Trial
      B

      Board Infinity

      Logical & Analytical Reasoning — Exam & Recruitment Prep

      Skills you'll gain: Logical Reasoning, Deductive Reasoning, Analytical Skills, Critical Thinking, Problem Solving, Complex Problem Solving, Applied Mathematics, Computational Logic, Cognitive flexibility, Decision Making, Arithmetic

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      C

      Codio

      Data Analysis in Python

      Skills you'll gain: Matplotlib, Statistical Hypothesis Testing, Data Analysis, Data Import/Export, Data Visualization, Data Cleansing, Probability & Statistics, Data Manipulation, Statistics, Descriptive Statistics, Pandas (Python Package), Exploratory Data Analysis, Data Science, Python Programming, Computational Logic

      Mixed · Course · 1 - 3 Months

    • Status: New
      New
      N

      Northeastern University

      Data Structures & Algos: Software Development Skills

      Skills you'll gain: Algorithms, Theoretical Computer Science, Data Structures, Computational Thinking, Analysis, Computer Science, Performance Tuning, Software Development, Scalability

      Mixed · Course · 1 - 4 Weeks

    • S

      Scrimba

      JavaScript Interview Questions for Junior Developers

      Skills you'll gain: Data Validation, Maintainability, Javascript, Computational Thinking, Data Structures, Debugging, Data Integrity, Performance Tuning, Algorithms

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      C

      Coursera Instructor Network

      OpenCL Programming

      Skills you'll gain: Distributed Computing, Scalability, Performance Tuning, C++ (Programming Language), Embedded Software, System Programming, Computer Architecture, Cross Platform Development, Hardware Architecture, Application Development, C (Programming Language), Programming Principles, Open Source Technology, Program Development, Application Performance Management, Development Environment

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      Parenting and More GameMaker Language Code

      Skills you'll gain: Video Game Development, Game Design, Scripting Languages, Unity Engine, C++ (Programming Language), Object Oriented Programming (OOP), C# (Programming Language), Computational Logic, Data Structures, Computer Programming, Debugging

      Beginner · Course · 1 - 4 Weeks

    • S

      Siemens

      응용 전산 유체 역학

      Skills you'll gain: Engineering Analysis, Thermal Management, Simulation and Simulation Software, Simulations, Mechanical Engineering, Numerical Analysis, Engineering, Mathematical Modeling, Differential Equations, Physics

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      70+ JavaScript Challenges - Data Structures and Algorithms

      Skills you'll gain: Data Structures, Graph Theory, Algorithms, Computational Thinking, Javascript, Debugging, Computer Science, Development Environment, Performance Tuning

      Intermediate · Course · 1 - 3 Months

    • B

      BITS Pilani

      Bachelor of Science in Computer Science

      Skills you'll gain: Relational Databases, User Research, Probability & Statistics, Data Storytelling, Bash (Scripting Language), Graph Theory, Object Oriented Design, Android Development, Operating Systems, Database Design, Bioinformatics, Feature Engineering, User Interface (UI) Design, Threat Modeling, Algorithms, Version Control, Java Programming, Data Structures, Model View Controller, Computational Logic

      Earn a degree

      Degree · 1 - 4 Years

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

    • Engineering Genetic Circuits: Abstraction Methods: University of Colorado Boulder
    • Blocks-based ABM with NetTango: Coursera Project Network
    • Logical & Analytical Reasoning — Exam & Recruitment Prep: Board Infinity
    • Data Analysis in Python: Codio
    • Data Structures & Algos: Software Development Skills: Northeastern University
    • JavaScript Interview Questions for Junior Developers: Scrimba
    • OpenCL Programming: Coursera Instructor Network
    • Parenting and More GameMaker Language Code: University of Colorado System
    • 응용 전산 유체 역학: Siemens
    • 70+ JavaScript Challenges - Data Structures and Algorithms: Packt

    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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