Mathematics Courses
Mathematics courses can help you learn algebra, calculus, statistics, and discrete mathematics. You can build skills in problem-solving, logical reasoning, and data analysis, that support interpreting complex information. Many courses introduce tools like graphing calculators, statistical software, and programming languages such as Python, showing how these skills apply in fields like finance, engineering, and data science.
Popular Mathematics Courses and Certifications
Tecnológico de Monterrey
Skills you'll gain: Digital pedagogy, Education Software and Technology, Calculus, Applied Mathematics, Mechanics, Algebra, Mathematical Modeling, General Mathematics, Model Optimization, Mathematics Education, Mathematical Software, Graphing, Derivatives
Tecnológico de Monterrey
Skills you'll gain: Advanced Mathematics, Calculus, Applied Mathematics, Mathematics Education, Numerical Analysis, Mathematical Modeling, Digital pedagogy, Model Optimization, Algebra, Graphing, Derivatives, Graphical Tools
Tecnológico de Monterrey
Skills you'll gain: Applied Mathematics, Algebra, Mathematical Modeling, Graphing, General Mathematics, Mathematical Software, Calculus, Model Optimization, Mathematical Theory & Analysis, Integral Calculus, Graphical Tools, Derivatives
Skills you'll gain: Linear Algebra, Advanced Mathematics, Differential Equations, Algebra, Applied Mathematics, Mathematical Theory & Analysis, Mathematics and Mathematical Modeling
University of Michigan
Skills you'll gain: Debugging, Programming Principles, Program Development, Computer Programming, Python Programming, Computational Thinking, Software Installation
Stanford University
Skills you'll gain: Logical Reasoning, Computational Logic, Deductive Reasoning, Computational Thinking, Problem Solving, Mathematics and Mathematical Modeling, Business Logic
Tecnológico de Monterrey
Skills you'll gain: Calculus, Integral Calculus, Advanced Mathematics, Graphing, Numerical Analysis, Digital pedagogy, Trigonometry, Mathematical Modeling, Mathematical Theory & Analysis, Algebra, Mathematical Software, Derivatives
University of Pennsylvania
Skills you'll gain: Integral Calculus, Calculus, Differential Equations, Advanced Mathematics, Mathematical Modeling
Johns Hopkins University
Skills you'll gain: Applied Mathematics, Model Optimization, Estimation, Calculus, Cost Estimation, Mathematical Modeling, Derivatives
University of London
Skills you'll gain: Computer Science, Debugging, Development Environment, Computer Systems, Web Applications, Arithmetic, Computer Literacy, General Networking, Javascript, Network Security, Computer Networking, Application Security, Computational Thinking, Computer Programming Tools, Applied Mathematics, Computer Graphics, Computer Programming, General Mathematics, Numerical Analysis, Problem Solving
Johns Hopkins University
Skills you'll gain: Mathematical Modeling, Graphing, Algebra, Applied Mathematics, Arithmetic
Skills you'll gain: Financial Market, Investment Banking, Securities (Finance), Investment Management, Financial Analysis, Capital Budgeting, Investments, Market Liquidity, Capital Markets, Business Mathematics, Financial Trading, Finance, Securities Trading, Market Dynamics, Cash Flows, Accruals, Business
In summary, here are 10 of our most popular Mathematics courses
- 2.- El Cálculo - Modelo Cuadrático: Tecnológico de Monterrey
- 4.- El Cálculo - Otros Modelos: Tecnológico de Monterrey
- 3.- El Cálculo - Modelo Cúbico: Tecnológico de Monterrey
- Doğrusal Cebir II: Kare Matrisler, Hesaplama Yöntemleri ve Uygulamalar / Linear Algebra II: Square Matrices, Calculation Methods and Applications: Koç University
- Programming for Everybody (Getting Started with Python): University of Michigan
- Introduction to Logic: Stanford University
- Cálculo Diferencial e Integral unidos por el Teorema Fundamental del Cálculo: Tecnológico de Monterrey
- Calculus: Single Variable Part 3 - Integration: University of Pennsylvania
- Calculus through Data & Modeling: Applying Differentiation: Johns Hopkins University
- Introduction to Computer Science and Programming: University of London
