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    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
      D

      DeepLearning.AI

      Natural Language Processing

      Skills you'll gain: Natural Language Processing, Supervised Learning, Markov Model, Text Mining, Dimensionality Reduction, Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Machine Learning Methods, Data Processing, Feature Engineering, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Algorithms, Keras (Neural Network Library), Unstructured Data, Probability & Statistics, Linear Algebra

      4.6
      Rating, 4.6 out of 5 stars
      ·
      6.1K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Introduction to Large Language Models

      Skills you'll gain: Large Language Modeling, Prompt Engineering, LLM Application, Generative AI, Prompt Patterns, Generative Model Architectures

      4.4
      Rating, 4.4 out of 5 stars
      ·
      1.1K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Computational Social Science

      Skills you'll gain: Social Network Analysis, Network Analysis, Data Wrangling, Natural Language Processing, Web Scraping, Social Sciences, Data Ethics, Databases, Artificial Intelligence, Research, Simulations, Big Data, Systems Thinking, Trend Analysis, Data Science, Artificial Intelligence and Machine Learning (AI/ML), Research Methodologies, Machine Learning, Data Collection, Agentic systems

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.2K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Natural Language Processing with Probabilistic Models

      Skills you'll gain: Natural Language Processing, Markov Model, Text Mining, Artificial Neural Networks, Machine Learning Methods, Data Processing, Algorithms, Probability & Statistics, Linear Algebra

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.8K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Washington

      Dynamic Public Speaking

      Skills you'll gain: Public Speaking, Persuasive Communication, Presentations, Verbal Communication Skills, Microsoft PowerPoint, Communication, Storytelling, Motivational Skills, Constructive Feedback, Driving engagement, Performing Arts, Concision, Drive Engagement, Action Oriented, Communication Strategies, Target Audience, Writing, Non-Verbal Communication, Composure, Leadership

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.7K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Data Structures and Algorithms

      Skills you'll gain: Data Structures, Graph Theory, Algorithms, Network Routing, Program Development, Network Model, Bioinformatics, Operations Research, Data Storage, Development Testing, Theoretical Computer Science, Computational Thinking, Network Analysis, Programming Principles, File Systems, Computer Programming, Epidemiology, Social Network Analysis, Software Testing, Debugging

      4.6
      Rating, 4.6 out of 5 stars
      ·
      17K reviews

      Intermediate · Specialization · 3 - 6 Months

    What brings you to Coursera today?

    • Status: Free Trial
      Free Trial
      I
      U
      I

      Multiple educators

      Data Science Foundations

      Skills you'll gain: Dashboard, Pseudocode, Jupyter, Algorithms, Data Literacy, Data Mining, Pandas (Python Package), Correlation Analysis, Web Scraping, NumPy, Data Import/Export, Probability & Statistics, Programming Principles, Predictive Modeling, Big Data, Computer Programming Tools, Data Science, Unsupervised Learning, Machine Learning, Project Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      115K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      Clinical Natural Language Processing

      Skills you'll gain: Natural Language Processing, Text Mining, Clinical Informatics, Clinical Documentation, R Programming, Google Cloud Platform, Health Informatics, Unstructured Data, Data Processing

      3.7
      Rating, 3.7 out of 5 stars
      ·
      23 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Crash Course on Python

      Skills you'll gain: Scripting, Python Programming, Computer Programming, Computational Thinking, Data Structures, Integrated Development Environments, Debugging, Development Environment

      4.8
      Rating, 4.8 out of 5 stars
      ·
      40K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Preview
      Preview
      U

      Universiteit Leiden

      Miracles of Human Language: An Introduction to Linguistics

      Skills you'll gain: Language Competency, Language Learning, Language Disorders, Anthropology, Multilingualism, English Language, Communication Disorders, Cultural Diversity, Oral Comprehension, Interviewing Skills, Vocabulary, Grammar, Cultural Sensitivity, Interpersonal Communications, Social Sciences, Sociology, Research Methodologies

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.5K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Santa Cruz

      Coding for Everyone: C and C++

      Skills you'll gain: C++ (Programming Language), Debugging, C (Programming Language), C and C++, Object Oriented Programming (OOP), Software Design Patterns, Code Review, Data Structures, Computer Programming, Algorithms, Command-Line Interface, Data-oriented programming, Programming Principles, Graph Theory, Computer Science, Computational Thinking, Artificial Intelligence, Integrated Development Environments, Software Technical Review, Game Design

      4.5
      Rating, 4.5 out of 5 stars
      ·
      9.5K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Glasgow

      Computational Thinking with JavaScript

      Skills you'll gain: Computational Thinking, JSON, Application Deployment, Data Structures, Javascript, Application Development, HTML and CSS, Data Analysis, Code Review, Software Development, Data Visualization Software, Web Development, Scripting, Prototyping, Data Processing, Programming Principles, Unsupervised Learning, Front-End Web Development, Data Science, Computer Programming

      Beginner · Specialization · 3 - 6 Months

    Computational Linguistics learners also search

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

    • Natural Language Processing: DeepLearning.AI
    • Introduction to Large Language Models: Google Cloud
    • Computational Social Science: University of California, Davis
    • Natural Language Processing with Probabilistic Models: DeepLearning.AI
    • Dynamic Public Speaking: University of Washington
    • Data Structures and Algorithms: University of California San Diego
    • Data Science Foundations: IBM
    • Clinical Natural Language Processing: University of Colorado System
    • Crash Course on Python: Google
    • Miracles of Human Language: An Introduction to Linguistics: Universiteit Leiden

    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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