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.
Popular Logic Courses and Certifications
Status: Free TrialJohns Hopkins University
Skills you'll gain: Calculus, Mathematical Software, Data Analysis, Mathematical Theory & Analysis, Derivatives, Graphing, Algebra
Status: PreviewThe Hong Kong University of Science and Technology
Skills you'll gain: Calculus, Numerical Analysis, Integral Calculus, Engineering Calculations, Applied Mathematics, Differential Equations, Algebra, Trigonometry, Engineering Analysis, Advanced Mathematics, General Mathematics, Physics, Geometry, Arithmetic, Mathematical Theory & Analysis, Mathematical Modeling, Derivatives, Graphing, Deductive Reasoning
Status: NewStatus: Free TrialSkills you'll gain: Data Visualization Software, Interactive Data Visualization, Application Development, Web Content Accessibility Guidelines, Color Theory
Status: Free TrialBoard Infinity
Skills you'll gain: Server Side, Restful API, API Design, Database Management, Back-End Web Development, Databases, Database Systems, Node.JS, Application Programming Interface (API), Full-Stack Web Development, Authentications, Web Applications, JavaScript Frameworks, Web Development, Web Servers, Authorization (Computing), NoSQL, MongoDB, Servers, Javascript
Status: PreviewKorea Advanced Institute of Science and Technology(KAIST)
Skills you'll gain: Differential Equations, Mathematical Modeling, Applied Mathematics, Calculus, Vibrations, Mechanics
Status: PreviewNational Taiwan University
Skills you'll gain: Computational Logic, Artificial Intelligence, AI Enablement, Computational Thinking, Algorithms, Machine Learning
Status: PreviewTecnológico de Monterrey
Skills you'll gain: Calculus, Integral Calculus, Advanced Mathematics, Graphing, Digital pedagogy, Trigonometry, Mathematical Modeling, Mathematical Theory & Analysis, Algebra, Computational Thinking, Applied Mathematics, Derivatives
Status: Free TrialJohns Hopkins University
Skills you'll gain: Data Analysis, Applied Mathematics, Mathematical Modeling, Analytical Skills, Statistics, Systems Of Measurement, Correlation Analysis, Regression Analysis
Status: PreviewÉcole Polytechnique
Skills you'll gain: Probability, Probability Distribution, Probability & Statistics, Simulations, Interactive Data Visualization, Statistics, Mathematical Theory & Analysis, Mathematical Modeling, Applied Mathematics
Status: Free TrialUniversity of London
Skills you'll gain: Arithmetic, Computer Graphics, Computational Thinking, General Mathematics, Systems Of Measurement, Algebra, Cryptography
Status: Free TrialJohns Hopkins University
Skills you'll gain: Algebra, Advanced Mathematics, General Mathematics, Applied Mathematics, Analytical Skills, Mathematical Modeling, Geometry, Graphing
- Status: Free Trial
Johns Hopkins University
Skills you'll gain: Graphing, Data Analysis, R (Software), General Mathematics, Mathematical Modeling, Algebra, Applied Mathematics, Calculus
In summary, here are 10 of our most popular logic courses
- Calculus through Data & Modeling: Limits & Derivatives: Johns Hopkins University
- Calculus for Engineers: The Hong Kong University of Science and Technology
- Data Visualization & Advanced App Logic: Packt
- Comprehensive Guide to Server-Side Logic and Development: Board Infinity
- Differential Equations Part I Basic Theory: Korea Advanced Institute of Science and Technology(KAIST)
- 人工智慧：搜尋方法與邏輯推論 (Artificial Intelligence - Search & Logic): National Taiwan University
- Cálculo Diferencial e Integral unidos por el Teorema Fundamental del Cálculo: Tecnológico de Monterrey
- Precalculus: Mathematical Modeling: Johns Hopkins University
- Aléatoire : une introduction aux probabilités - Partie 1: École Polytechnique
- Mathematics for Computer Science: University of London
