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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 California San Diego

      Finding Mutations in DNA and Proteins (Bioinformatics VI)

      Skills you'll gain: Bioinformatics, Markov Model, Molecular Biology, Machine Learning Methods, Computational Thinking, Algorithms, Computer Programming Tools, Data Structures, Probability & Statistics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      60 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      C

      Codio

      Select Topics in Python: Natural Language Processing

      Skills you'll gain: Text Mining, Large Language Modeling, Natural Language Processing, Data Processing, Data Transformation, Python Programming, Artificial Intelligence, Computational Thinking

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      O

      Oracle

      Oracle Cloud Infrastructure Generative AI Professional

      Skills you'll gain: Large Language Modeling, Generative AI, ChatGPT, Oracle Cloud, Prompt Engineering, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Application Programming Interface (API), Data Processing, Data Storage

      4.5
      Rating, 4.5 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      MathWorks

      Data Processing and Feature Engineering with MATLAB

      Skills you'll gain: Feature Engineering, Dimensionality Reduction, Data Integration, Exploratory Data Analysis, Data Visualization, Matlab, Data Processing, Descriptive Statistics, Data Cleansing, Data Manipulation, Histogram, Data Transformation, Text Mining, Predictive Modeling, Unstructured Data, Image Analysis, Natural Language Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      347 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Pennsylvania

      Network Dynamics of Social Behavior

      Skills you'll gain: Network Analysis, Social Sciences, Sociology, Agentic systems, Systems Thinking, Economics, Policy, and Social Studies, Simulations, Culture, Complex Problem Solving, Innovation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      394 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      Icahn School of Medicine at Mount Sinai

      Dynamical Modeling Methods for Systems Biology

      Skills you'll gain: Matlab, Mathematical Modeling, Differential Equations, Computational Logic, Applied Mathematics, Molecular Biology, Simulations, Statistical Modeling, Biochemistry, Biology, Probability, Electrical Systems

      4.7
      Rating, 4.7 out of 5 stars
      ·
      220 reviews

      Mixed · Course · 1 - 3 Months

    • C

      Coursera Instructor Network

      Understanding Large Language Models in Business

      Skills you'll gain: Large Language Modeling, Trend Analysis, Real Time Data, Analytics, OpenAI, Business Marketing, Prompt Engineering, Business Strategy, Application Programming Interface (API), Business Modeling, Generative AI, ChatGPT, Technology Roadmaps, Software Development, Natural Language Processing, Artificial Neural Networks, Content Marketing, Artificial Intelligence, Customer experience improvement

      4.5
      Rating, 4.5 out of 5 stars
      ·
      10 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      CFD Simulation Through a Centrifugal Pump

      Skills you'll gain: Simulation and Simulation Software, Simulations, Engineering Analysis, Hydraulics, Cloud Computing, Verification And Validation, Data Validation, Mathematical Modeling

      4.6
      Rating, 4.6 out of 5 stars
      ·
      270 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      Universidad Nacional Autónoma de México

      Razonamiento artificial

      Skills you'll gain: Bayesian Network, Computational Logic, Markov Model, Artificial Intelligence, Game Theory, Python Programming, Deductive Reasoning, Probability, Verification And Validation, Mathematical Modeling, Algorithms

      4.1
      Rating, 4.1 out of 5 stars
      ·
      108 reviews

      Intermediate · Course · 1 - 3 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, Big Data, Computational Thinking, Network Analysis, Algorithms, Data Analysis Software, Statistical Methods, Machine Learning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      189 reviews

      Mixed · Course · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      S

      Shanghai Jiao Tong University

      Mandarin Chinese for Intermediate Learners: Part 1

      Skills you'll gain: Language Competency, Language Learning, Oral Comprehension, Vocabulary

      4.7
      Rating, 4.7 out of 5 stars
      ·
      113 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      H

      H2O.ai

      H2O ai Large Language Models (LLMs) - Level 1

      Skills you'll gain: Large Language Modeling, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Prompt Engineering, Machine Learning Methods, Natural Language Processing

      3.3
      Rating, 3.3 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 4 Weeks

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

    • Finding Mutations in DNA and Proteins (Bioinformatics VI): University of California San Diego
    • Select Topics in Python: Natural Language Processing: Codio
    • Oracle Cloud Infrastructure Generative AI Professional: Oracle
    • Data Processing and Feature Engineering with MATLAB: MathWorks
    • Network Dynamics of Social Behavior: University of Pennsylvania
    • Dynamical Modeling Methods for Systems Biology: Icahn School of Medicine at Mount Sinai
    • Understanding Large Language Models in Business: Coursera Instructor Network
    • CFD Simulation Through a Centrifugal Pump: Coursera Project Network
    • Razonamiento artificial: Universidad Nacional Autónoma de México
    • 生物信息学: 导论与方法: Peking University

    Skills you can learn in Mobile And Web Development

    Web (13)
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    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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