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Logic Courses

Logic courses can help you learn critical thinking, argument analysis, propositional logic, and logical reasoning techniques. You can build skills in evaluating arguments, identifying fallacies, and constructing sound conclusions. Many courses introduce tools like truth tables, Venn diagrams, and formal proof systems, which you can use to analyze complex problems and enhance decision-making processes.


More to explore:

Popular Logic Courses and Certifications


  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Calculus through Data & Modelling: Techniques of Integration

    Skills you'll gain: Integral Calculus, Numerical Analysis, Calculus, Probability, Applied Mathematics, Advanced Mathematics, Geometry, Mathematical Modeling

    4.7
    Rating, 4.7 out of 5 stars
    ·
    54 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    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
    ·
    211 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Preview
    Preview
    N

    National Taiwan University

    頑想學概率:機率一 (Probability (1))

    Skills you'll gain: Probability, Probability Distribution, Probability & Statistics, Statistics, Data Literacy

    4.8
    Rating, 4.8 out of 5 stars
    ·
    367 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Mathematics for Machine Learning: Multivariate Calculus

    Skills you'll gain: Regression Analysis, Calculus, Advanced Mathematics, Machine Learning Algorithms, Linear Algebra, Artificial Neural Networks, Mathematical Modeling, Python Programming, Derivatives

    4.7
    Rating, 4.7 out of 5 stars
    ·
    5.8K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM AI Foundations for Business

    Skills you'll gain: Responsible AI, Data Literacy, AI Enablement, Data Mining, AI Product Strategy, Generative AI, Big Data, Information Architecture, Strategic Decision-Making, Enterprise Architecture, Cloud Computing, Data Analysis, Data Science, Digital Transformation, Natural Language Processing, Data-Driven Decision-Making, Data Architecture, Robotics, Business Logic, Leadership

    4.7
    Rating, 4.7 out of 5 stars
    ·
    99K reviews

    Beginner · Specialization · 1 - 3 Months

  • 2

    28DIGITAL

    Automated Reasoning: Symbolic Model Checking

    Skills you'll gain: Computational Logic, Theoretical Computer Science, Model Evaluation, Systems Analysis, Graph Theory, Verification And Validation, Algorithms, Data Structures

    4.7
    Rating, 4.7 out of 5 stars
    ·
    26 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    T

    Tecnológico de Monterrey

    3.- El Cálculo - Modelo Cúbico

    Skills you'll gain: Applied Mathematics, Algebra, Mathematical Modeling, Graphing, Advanced Mathematics, Mathematical Software, Calculus, Mathematical Theory & Analysis, Integral Calculus, Derivatives

    4.7
    Rating, 4.7 out of 5 stars
    ·
    235 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    N

    National Taiwan University

    頑想學概率:機率二 (Probability (2))

    Skills you'll gain: Probability, Probability Distribution, Probability & Statistics, Advanced Mathematics, Statistical Methods, Calculus, Mathematical Theory & Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    93 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Preview
    Preview
    K

    Korea Advanced Institute of Science and Technology(KAIST)

    Math for AI beginner part 1 Linear Algebra

    Skills you'll gain: Linear Algebra, Artificial Intelligence, Applied Mathematics, Deep Learning, Machine Learning, Supervised Learning, Mathematical Modeling

    4.4
    Rating, 4.4 out of 5 stars
    ·
    32 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    É

    École Polytechnique

    Aléatoire : une introduction aux probabilités - Partie 2

    Skills you'll gain: Probability, Simulations, Advanced Mathematics, Probability & Statistics, Probability Distribution, Statistical Methods, Mathematical Theory & Analysis, Sampling (Statistics), Mathematical Modeling, Statistical Inference

    4.6
    Rating, 4.6 out of 5 stars
    ·
    40 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Dartmouth College

    Question Reality: Mind

    Skills you'll gain: Computational Logic, Theoretical Computer Science, Logical Reasoning, Experimentation, Artificial Intelligence, Computational Thinking, Mathematics and Mathematical Modeling, Simulations, Psychology, Science and Research, Scientific Methods, Algorithms

    4.4
    Rating, 4.4 out of 5 stars
    ·
    14 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Algebra and Differential Calculus for Data Science

    Skills you'll gain: Algebra, Calculus, Graphing, Applied Mathematics, Data Science, Derivatives, Numerical Analysis, Mathematical Theory & Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    261 reviews

    Intermediate · Course · 1 - 3 Months

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In summary, here are 10 of our most popular logic courses

  • Calculus through Data & Modelling: Techniques of Integration: Johns Hopkins University
  • Games without Chance: Combinatorial Game Theory : Georgia Institute of Technology
  • 頑想學概率:機率一 (Probability (1)): National Taiwan University
  • Mathematics for Machine Learning: Multivariate Calculus: Imperial College London
  • IBM AI Foundations for Business: IBM
  • Automated Reasoning: Symbolic Model Checking: 28DIGITAL
  • 3.- El Cálculo - Modelo Cúbico: Tecnológico de Monterrey
  • 頑想學概率:機率二 (Probability (2)): National Taiwan University
  • Math for AI beginner part 1 Linear Algebra: Korea Advanced Institute of Science and Technology(KAIST)
  • Aléatoire : une introduction aux probabilités - Partie 2: École Polytechnique

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