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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

    • F

      Fractal Analytics

      Quantum Computing For Everyone - An Introduction

      Skills you'll gain: Computer Science, IBM Cloud, Algorithms, Data Ethics, Computational Thinking, Linear Algebra, Emerging Technologies, Cryptography, Physics, Applied Mathematics

      4
      Rating, 4 out of 5 stars
      ·
      66 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      The Complete LangChain & LLMs Guide

      Skills you'll gain: Prompt Engineering, Large Language Modeling, OpenAI, Development Environment, Generative AI, Artificial Intelligence, Natural Language Processing, Document Management, Program Development, Computer Programming Tools, Application Development, Semantic Web, JSON, Image Analysis, User Interface (UI)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 3 - 6 Months

    • P

      Peking University

      生物信息学: 导论与方法

      Skills you'll gain: Bioinformatics, Markov Model, Life Sciences, Molecular Biology, Biology, Computational Thinking, Data Science, Machine Learning Methods, Algorithms, Data Processing, Statistical Methods, Data Analysis Software, Database Development

      4.8
      Rating, 4.8 out of 5 stars
      ·
      189 reviews

      Mixed · Course · 3 - 6 Months

    • Status: Free
      Free
      P

      Princeton University

      Computer Science: Algorithms, Theory, and Machines

      Skills you'll gain: Theoretical Computer Science, Data Structures, Computer Science, Computer Architecture, Algorithms, Programming Principles, Computational Logic, Computational Thinking, Java Programming, Computer Hardware

      4.7
      Rating, 4.7 out of 5 stars
      ·
      701 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Foundations of Coding Full-Stack

      Skills you'll gain: Microsoft Copilot, Programming Principles, Full-Stack Web Development, GitHub, Version Control, Program Development, Debugging, Computational Thinking, Pseudocode, Git (Version Control System), Web Design and Development, Computer Programming, Algorithms, Web Development, C# (Programming Language), Data Structures, Back-End Web Development

      4.7
      Rating, 4.7 out of 5 stars
      ·
      77 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      Icahn School of Medicine at Mount Sinai

      Experimental Methods in Systems Biology

      Skills you'll gain: Quantitative Research, Bioinformatics, Molecular Biology, Data Analysis, Analytical Skills, Biochemistry, Experimentation, Laboratory Experience, Molecular, Cellular, and Microbiology, Systems Engineering, Life Sciences, Mathematical Modeling, Biology, Image Analysis, Laboratory Equipment

      4.5
      Rating, 4.5 out of 5 stars
      ·
      313 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Natural Language Processing and Capstone Assignment

      Skills you'll gain: Predictive Modeling, Natural Language Processing, Social Media, Text Mining, Cloud Computing, Unstructured Data, Big Data, Data Analysis, Trend Analysis, Geospatial Information and Technology, Machine Learning Methods, Business Intelligence, Consumer Behaviour, Internet Of Things, Deep Learning

      4.4
      Rating, 4.4 out of 5 stars
      ·
      43 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      P

      Pontificia Universidad Católica de Chile

      Electrónica en cápsulas

      Skills you'll gain: Semiconductors, Electronic Systems, Electronics, Electronic Components, Basic Electrical Systems, Power Electronics, Engineering Design Process, Electronics Engineering, Schematic Diagrams, Performance Testing, System Design and Implementation, Engineering Analysis, Mathematical Modeling, Engineering Calculations, Computational Logic

      4.8
      Rating, 4.8 out of 5 stars
      ·
      182 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Introduction to Application Development

      Skills you'll gain: Apache Maven, Software Development Life Cycle, Unified Modeling Language, Object Oriented Programming (OOP), CI/CD, Build Tools, Object Oriented Design, Software Development Methodologies, Jenkins, Continuous Integration, Agile Methodology, Software Development Tools, Software Design Patterns, Software Development, Test Driven Development (TDD), Computational Thinking, Software Versioning, Cloud Development, Continuous Delivery, Programming Principles

      4.5
      Rating, 4.5 out of 5 stars
      ·
      186 reviews

      Beginner · Specialization · 3 - 6 Months

    • T

      The Hong Kong University of Science and Technology

      Programming with Scratch

      Skills you'll gain: Animation and Game Design, Computational Thinking, Programming Principles, Computer Programming, Storytelling, Scripting, Solution Design, Creativity, Event-Driven Programming, Data Storage

      4.4
      Rating, 4.4 out of 5 stars
      ·
      95 reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      D

      Duke University

      Programming for Python Data Science: Principles to Practice

      Skills you'll gain: Matplotlib, Pandas (Python Package), NumPy, Computational Thinking, Predictive Modeling, Data Cleansing, Data Structures, Data Visualization Software, Visualization (Computer Graphics), Debugging, Data Analysis, Object Oriented Programming (OOP), Data Manipulation, Regression Analysis, Python Programming, Data Science, Algorithms, Simulations, Statistical Methods, Program Development

      3.8
      Rating, 3.8 out of 5 stars
      ·
      70 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free
      U

      University of Pennsylvania

      Calculus: Single Variable Part 2 - Differentiation

      Skills you'll gain: Calculus, Applied Mathematics, Derivatives, Engineering Calculations, Advanced Mathematics, Economics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.2K reviews

      Mixed · Course · 1 - 4 Weeks

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    1…161718…42

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

    • Quantum Computing For Everyone - An Introduction : Fractal Analytics
    • The Complete LangChain & LLMs Guide: Packt
    • 生物信息学: 导论与方法: Peking University
    • Computer Science: Algorithms, Theory, and Machines: Princeton University
    • Foundations of Coding Full-Stack: Microsoft
    • Experimental Methods in Systems Biology: Icahn School of Medicine at Mount Sinai
    • Natural Language Processing and Capstone Assignment: University of California, Irvine
    • Electrónica en cápsulas: Pontificia Universidad Católica de Chile
    • Introduction to Application Development: LearnQuest
    • Programming with Scratch: The Hong Kong University of Science and Technology

    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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