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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 Colorado System

      Introduction to Clinical Data Science

      Skills you'll gain: Tidyverse (R Package), Clinical Data Management, Clinical Research, R Programming, Google Cloud Platform, Data Ethics, Data Science, Health Informatics, Data Processing, Electronic Medical Record, Information Privacy, Health Care Procedure and Regulation, Data Manipulation, SQL, Data Access

      4.5
      Rating, 4.5 out of 5 stars
      ·
      414 reviews

      Intermediate · Course · 1 - 4 Weeks

    • P

      Peking University

      Bioinformatics: Introduction and Methods 生物信息学: 导论与方法

      Skills you'll gain: Bioinformatics, Markov Model, Molecular Biology, Biology, Computational Thinking, Data Analysis, Predictive Modeling, Database Software, Probability & Statistics, Data Processing, Unstructured Data, Algorithms

      4.4
      Rating, 4.4 out of 5 stars
      ·
      279 reviews

      Mixed · Course · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      P

      Packt

      Natural Language Processing with Real-World Projects

      Skills you'll gain: Matplotlib, Natural Language Processing, Data Visualization, Deep Learning, Linear Algebra, Semantic Web, Seaborn, Python Programming, Machine Learning, NumPy, Supervised Learning, Pandas (Python Package), Artificial Neural Networks, Data Processing, Text Mining, Data Science, Unstructured Data, Applied Machine Learning, Markov Model, Dimensionality Reduction

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Algorithmic Thinking (Part 1)

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

      4.6
      Rating, 4.6 out of 5 stars
      ·
      382 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Algorithmic Thinking (Part 2)

      Skills you'll gain: Computational Thinking, Algorithms, Bioinformatics, Data Structures, Big Data, Python Programming, Data Analysis, Machine Learning Algorithms, Unsupervised Learning, Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      216 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      C

      Codio

      Programming in Python: A Hands-on Introduction

      Skills you'll gain: Object Oriented Programming (OOP), Programming Principles, Computer Programming, Scripting Languages, Data Import/Export, Data Structures, Python Programming, Scripting, Computational Logic, Computer Science, File Management

      4.4
      Rating, 4.4 out of 5 stars
      ·
      464 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Genome Assembly Programming Challenge

      Skills you'll gain: Bioinformatics, Graph Theory, Epidemiology, Infectious Diseases, Network Analysis, Program Development, Molecular Biology, Computational Thinking, Algorithms

      4.5
      Rating, 4.5 out of 5 stars
      ·
      346 reviews

      Advanced · Course · 1 - 4 Weeks

    • G

      Georgia Institute of Technology

      Games without Chance: Combinatorial Game Theory

      Skills you'll gain: Game Theory, Combinatorics, Mathematical Theory & Analysis, Computational Logic, Mathematical Modeling

      4.3
      Rating, 4.3 out of 5 stars
      ·
      210 reviews

      Mixed · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Generative AI and Symbolic Reasoning

      Skills you'll gain: Generative AI, Large Language Modeling, ChatGPT, OpenAI, Artificial Intelligence, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Prompt Engineering, Natural Language Processing

      4.9
      Rating, 4.9 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 4 Weeks

    • H

      Hebrew University of Jerusalem

      Synapses, Neurons and Brains

      Skills you'll gain: Artificial Neural Networks, Neurology, Computer Science, Psychology, Basic Electrical Systems, Network Analysis, Anatomy, Simulation and Simulation Software, Computational Thinking, Mathematical Modeling, Biology

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

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      Cryptography and Information Theory

      Skills you'll gain: Cryptography, Cryptographic Protocols, Encryption, Key Management, Cybersecurity, Computer Security, Theoretical Computer Science

      4.5
      Rating, 4.5 out of 5 stars
      ·
      518 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Glasgow

      Generative Pre-trained Transformers (GPT)

      Skills you'll gain: Large Language Modeling, ChatGPT, Generative AI, Natural Language Processing, PyTorch (Machine Learning Library), Risk Management Framework, Prompt Engineering, Tensorflow, Data Ethics, Deep Learning, Artificial Neural Networks, Artificial Intelligence

      4.4
      Rating, 4.4 out of 5 stars
      ·
      32 reviews

      Intermediate · Course · 1 - 4 Weeks

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

    • Introduction to Clinical Data Science: University of Colorado System
    • Bioinformatics: Introduction and Methods 生物信息学: 导论与方法: Peking University
    • Natural Language Processing with Real-World Projects: Packt
    • Algorithmic Thinking (Part 1): Rice University
    • Algorithmic Thinking (Part 2): Rice University
    • Programming in Python: A Hands-on Introduction: Codio
    • Genome Assembly Programming Challenge: University of California San Diego
    • Games without Chance: Combinatorial Game Theory : Georgia Institute of Technology
    • Generative AI and Symbolic Reasoning: Johns Hopkins University
    • Synapses, Neurons and Brains : Hebrew University of Jerusalem

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    Web (13)
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    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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