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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

    • U

      University of California, Davis

      Python Basics: Automation and Bots

      Skills you'll gain: Programming Principles, Python Programming, Scripting, Data Cleansing, Automation, Computational Thinking, Computer Programming, Debugging, Application Programming Interface (API)

      4.9
      Rating, 4.9 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      Les Expressions Lambda et Java

      Skills you'll gain: Java, Java Programming, Algorithms, Computational Thinking, Object Oriented Programming (OOP), Functional Design, Development Environment

      4.7
      Rating, 4.7 out of 5 stars
      ·
      11 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • T

      Tsinghua University

      Data Structures and Algorithms (IV)

      Skills you'll gain: Data Structures, Algorithms, Computational Thinking, Programming Principles, System Design and Implementation

      2.7
      Rating, 2.7 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Leadership for Cancer Informatics Research

      Skills you'll gain: Health Equity, Health Disparities, Record Keeping, Clinical Leadership, Collaborative Software, Technical Management, Health Informatics, Diversity Awareness, Information Management, GitHub, Version Control, Git (Version Control System), Docker (Software)

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      N

      Northeastern University

      NLP in Engineering: Concepts & Real-World Applications

      Skills you'll gain: Natural Language Processing, Data Ethics, Deep Learning, Artificial Neural Networks, Machine Learning, Supervised Learning, Machine Learning Algorithms

      Mixed · Course · 1 - 4 Weeks

    • F

      Fred Hutchinson Cancer Center

      Researcher's guide to DNA sequencing data

      Skills you'll gain: Bioinformatics, Molecular Biology, Data Collection, Data Processing, Science and Research, Exploratory Data Analysis, Analysis, Research Methodologies, Research Design

      3.5
      Rating, 3.5 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 1 - 3 Months

    • 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, Web Design and Development, Data Analysis, Code Review, Software Development, Data Visualization Software, Scripting Languages, Web Development, Web Applications, Scripting, Prototyping, Programming Principles, Computer Programming, Computer Graphics

      Beginner · Specialization · 3 - 6 Months

    • U

      University of California San Diego

      Computational Thinking for K-12 Educators: Variables and Nested Loops

      Skills you'll gain: Debugging, Classroom Management, Diversity Awareness, Computational Thinking, Education Software and Technology, Event-Driven Programming, Programming Principles, Computer Programming

      4.8
      Rating, 4.8 out of 5 stars
      ·
      8 reviews

      Beginner · Course · 1 - 3 Months

    • I

      Illinois Tech

      Data Preparation and Analysis

      Skills you'll gain: Machine Learning Algorithms, Statistical Analysis, Data Visualization, Data Analysis, Exploratory Data Analysis, Data Presentation, Data Cleansing, Applied Machine Learning, Analytics, Machine Learning, Data Science, Regression Analysis, Data Manipulation, Data Mining, Statistical Modeling, Python Programming, Feature Engineering, Scikit Learn (Machine Learning Library), Unsupervised Learning, Classification And Regression Tree (CART)

      Build toward a degree

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      G

      Google Cloud

      Introduction to Large Language Models - 日本語版

      Skills you'll gain: Large Language Modeling, Prompt Engineering, Generative AI, Google Cloud Platform, Application Development, Natural Language Processing

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      T

      The Chinese University of Hong Kong

      离散优化建模高阶篇 Advanced Modeling for Discrete Optimization

      Skills you'll gain: Mathematical Modeling, Operations Research, Debugging, Computational Logic, Applied Mathematics, Performance Tuning, Algorithms, Geometry

      4.3
      Rating, 4.3 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of California San Diego

      Teaching Impacts of Technology: Global Society

      Skills you'll gain: Pedagogy, Blockchain, Teaching, Emerging Technologies, Computer Networking, Internet Of Things, Instructional Strategies, Cybersecurity, Information Privacy, Encryption, Virtual Private Networks (VPN), Social Studies, Distributed Denial-Of-Service (DDoS) Attacks

      Beginner · Course · 1 - 3 Months

    1…363738…42

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

    • Python Basics: Automation and Bots: University of California, Davis
    • Les Expressions Lambda et Java: Coursera Project Network
    • Data Structures and Algorithms (IV): Tsinghua University
    • Leadership for Cancer Informatics Research: Johns Hopkins University
    • NLP in Engineering: Concepts & Real-World Applications: Northeastern University
    • Researcher's guide to DNA sequencing data: Fred Hutchinson Cancer Center
    • Computational Thinking with JavaScript: University of Glasgow
    • Computational Thinking for K-12 Educators: Variables and Nested Loops: University of California San Diego
    • Data Preparation and Analysis: Illinois Tech
    • Introduction to Large Language Models - 日本語版: Google Cloud

    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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