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  • Computational Linguistics

Computational Linguistics Courses

Computational linguistics courses can help you learn natural language processing, syntax analysis, and semantic understanding. You can build skills in text mining, language modeling, and machine translation techniques. Many courses introduce tools like Python libraries such as NLTK and spaCy, as well as frameworks for AI-driven applications, helping you apply these skills to analyze and generate human language effectively.


Popular Computational Linguistics Courses and Certifications


  • Status: Preview
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    H

    Heriot-Watt University

    Learn Java Programming

    Skills you'll gain: Object Oriented Programming (OOP), Java, Java Programming, Computer Programming, Application Development, Programming Principles, Computational Logic, Software Development, Debugging, Data Structures

    Build toward a degree

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    S

    Stanford University

    Probabilistic Graphical Models 2: Inference

    Skills you'll gain: Bayesian Network, Machine Learning Methods, Statistical Inference, Markov Model, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Probability Distribution, Machine Learning Algorithms, Computational Thinking

    4.6
    Rating, 4.6 out of 5 stars
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    488 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    University of Colorado Boulder

    Trees and Graphs: Basics

    Skills you'll gain: Graph Theory, Data Structures, Algorithms, Tree Maps, Network Analysis, Computational Thinking, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
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    182 reviews

    Advanced · Course · 1 - 4 Weeks

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    Peking University

    离散数学概论 Discrete Mathematics Generality

    Skills you'll gain: Theoretical Computer Science, Graph Theory, Computational Logic, Logical Reasoning, Combinatorics, Geospatial Information and Technology, Mathematics and Mathematical Modeling, General Mathematics, Algebra, Computational Thinking, Spatial Analysis, Computer Science, Arithmetic, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
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    281 reviews

    Beginner · Course · 3 - 6 Months

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    B

    Birla Institute of Technology & Science, Pilani

    Introduction to Bioinformatics

    Skills you'll gain: Bioinformatics, Biotechnology, Data Management, Biostatistics, Data Mining, Applied Machine Learning, Unsupervised Learning, R Programming, Scientific Visualization, Data Preprocessing, Correlation Analysis, Chemical and Biomedical Engineering, Dimensionality Reduction, Computational Thinking, Markov Model, Algorithms

    3.7
    Rating, 3.7 out of 5 stars
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    6 reviews

    Beginner · Course · 1 - 3 Months

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    T

    The Hong Kong University of Science and Technology

    Numerical Methods for Engineers

    Skills you'll gain: Matlab, Engineering Calculations, Numerical Analysis, Mathematical Software, Engineering Analysis, Linear Algebra, Differential Equations, Applied Mathematics, Mathematical Modeling, Simulation and Simulation Software, Computational Thinking, Estimation, Integral Calculus, Scripting, Simulations, Calculus, Scientific Visualization, Programming Principles, Plot (Graphics), Algorithms

    4.9
    Rating, 4.9 out of 5 stars
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    410 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    University of Colorado Boulder

    Introduction to Data Analytics for Business

    Skills you'll gain: Data Governance, Data Management, Business Analytics, Analytics, Data Quality, Data Ethics, Data Analysis, Business Intelligence, Big Data, Organizational Structure, Data-Driven Decision-Making, Data Access, Relational Databases, SQL, Data Storage, Cloud Computing

    4.7
    Rating, 4.7 out of 5 stars
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    3.2K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    U

    University of Colorado Boulder

    Dynamic Programming, Greedy Algorithms

    Skills you'll gain: Theoretical Computer Science, Algorithms, Computational Thinking, Pseudocode, Data Structures, Design Strategies, Programming Principles, Computer Science, Advanced Mathematics, Python Programming, Analysis

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
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    236 reviews

    Advanced · 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, Clinical Research Ethics, Unstructured Data, Health Care, Data Mining, Electronic Medical Record, Data Transformation, Data Collection, Data Preprocessing, Text Mining, Medical Imaging

    4.6
    Rating, 4.6 out of 5 stars
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    491 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    D

    Duke University

    Pointers, Arrays, and Recursion

    Skills you'll gain: C (Programming Language), Data Structures, Program Development, Algorithms, Computational Thinking, Computer Programming, Debugging

    4.3
    Rating, 4.3 out of 5 stars
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    348 reviews

    Beginner · Course · 1 - 3 Months

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    U

    University of Washington

    Programming Languages, Part C

    Skills you'll gain: Ruby (Programming Language), Object Oriented Programming (OOP), Object Oriented Design, Computer Programming, Programming Principles, Functional Design, Computational Thinking, Software Design Patterns, Theoretical Computer Science, Computer Science, Debugging

    4.9
    Rating, 4.9 out of 5 stars
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    463 reviews

    Mixed · Course · 1 - 3 Months

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    U

    University of Michigan

    The Finite Element Method for Problems in Physics

    Skills you'll gain: Finite Element Methods, Engineering Analysis, Mathematical Software, Numerical Analysis, Mathematical Modeling, Advanced Mathematics, C++ (Programming Language)

    4.6
    Rating, 4.6 out of 5 stars
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    562 reviews

    Intermediate · Course · 3 - 6 Months

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

  • Learn Java Programming: Heriot-Watt University
  • Probabilistic Graphical Models 2: Inference: Stanford University
  • Trees and Graphs: Basics: University of Colorado Boulder
  • 离散数学概论 Discrete Mathematics Generality: Peking University
  • Introduction to Bioinformatics: Birla Institute of Technology & Science, Pilani
  • Numerical Methods for Engineers: The Hong Kong University of Science and Technology
  • Introduction to Data Analytics for Business: University of Colorado Boulder
  • Dynamic Programming, Greedy Algorithms: University of Colorado Boulder
  • Introduction to Clinical Data: Stanford University
  • Pointers, Arrays, and Recursion: Duke University

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