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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

    • T

      The University of Edinburgh

      Code Yourself! An Introduction to Programming

      Skills you'll gain: Software Engineering, Video Game Development, Software Testing, Software Development, Programming Principles, Software Design, Game Design, Computer Programming, Animation and Game Design, Debugging, Computational Thinking, Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.6K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of London

      Introduction to Computer Science and Programming

      Skills you'll gain: Computer Science, Debugging, Development Environment, Computer Systems, Web Applications, Arithmetic, Javascript, Computer Networking, Computational Thinking, Theoretical Computer Science, Human Computer Interaction, Hardware Architecture, Program Development, Computer Graphics, Operating Systems, Cybersecurity, Computer Programming, Problem Management, General Mathematics, Applied Mathematics

      4.2
      Rating, 4.2 out of 5 stars
      ·
      1.5K reviews

      Beginner · Specialization · 1 - 3 Months

    • A

      Arizona State University

      AI Foundations: Prompt Engineering with ChatGPT

      Skills you'll gain: Prompt Engineering, ChatGPT, Large Language Modeling, Data Ethics, Generative AI, Ideation, Creativity, Research

      4.1
      Rating, 4.1 out of 5 stars
      ·
      72 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Introduction to Genomic Technologies

      Skills you'll gain: Bioinformatics, Data Science, Molecular Biology, Data Analysis, Programming Principles, Computer Science, Statistical Analysis, Computational Thinking, Big Data, Software Engineering, Algorithms, Biology

      4.6
      Rating, 4.6 out of 5 stars
      ·
      4.7K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      É

      École Polytechnique Fédérale de Lausanne

      Digital Signal Processing 1: Basic Concepts and Algorithms

      Skills you'll gain: Digital Communications, Electrical and Computer Engineering, Programming Principles, Engineering Analysis, Electronics, Telecommunications, Advanced Mathematics, Algorithms, Linear Algebra, Time Series Analysis and Forecasting, Mathematical Modeling, Computational Logic, Applied Mathematics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      623 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      Universidad de los Andes

      Programación en Python

      Skills you'll gain: Data Visualization Software, Programming Principles, Computational Thinking, Matplotlib, Python Programming, NumPy, Computer Programming, Algorithms, Pandas (Python Package), Debugging, Data Manipulation, Integrated Development Environments, Data Structures, Data Analysis, Scripting

      4.5
      Rating, 4.5 out of 5 stars
      ·
      194 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Natural Language Processing with Sequence Models

      Skills you'll gain: Natural Language Processing, Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Text Mining, Machine Learning Methods

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.2K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Divide and Conquer, Sorting and Searching, and Randomized Algorithms

      Skills you'll gain: Algorithms, Graph Theory, Data Structures, Theoretical Computer Science, Computational Thinking, Analysis, Probability

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.3K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Introduction to Clinical Data

      Skills you'll gain: Feature Engineering, Data Ethics, Clinical Research, Clinical Data Management, Health Informatics, Medical Records, Unstructured Data, Health Care, Data Mining, Electronic Medical Record, Data Collection, Data Manipulation, Text Mining, Health Disparities, Data Processing, Medical Imaging

      4.6
      Rating, 4.6 out of 5 stars
      ·
      434 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      D

      DeepLearning.AI

      Finetuning Large Language Models

      Skills you'll gain: Large Language Modeling, Prompt Engineering, Generative AI, Performance Tuning, Data Processing, Deep Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      529 reviews

      Intermediate · Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Think Again I: How to Understand Arguments

      Skills you'll gain: Persuasive Communication, Research, Writing, Oral Expression, Interpersonal Communications

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Computational Fluid Mechanics - Airflow Around a Spoiler

      Skills you'll gain: Simulation and Simulation Software, Engineering Analysis, Engineering, Prototyping, Computer-Aided Design, Cloud Computing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      343 reviews

      Beginner · Guided Project · Less Than 2 Hours

    Computational Linguistics learners also search

    Advanced Language
    NLP
    ChatGPT
    Advanced Python
    Advanced Google
    BERT
    Chatbot
    Translation
    1…789…42

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

    • Code Yourself! An Introduction to Programming: The University of Edinburgh
    • Introduction to Computer Science and Programming: University of London
    • AI Foundations: Prompt Engineering with ChatGPT: Arizona State University
    • Introduction to Genomic Technologies: Johns Hopkins University
    • Digital Signal Processing 1: Basic Concepts and Algorithms: École Polytechnique Fédérale de Lausanne
    • Programación en Python: Universidad de los Andes
    • Natural Language Processing with Sequence Models: DeepLearning.AI
    • Divide and Conquer, Sorting and Searching, and Randomized Algorithms: Stanford University
    • Introduction to Clinical Data: Stanford University
    • Finetuning Large Language Models: DeepLearning.AI

    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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