Multivariable Calculus Courses
Multivariable calculus courses can help you learn partial derivatives, multiple integrals, and vector calculus. You can build skills in analyzing functions of several variables, optimizing multivariable functions, and applying theorems like Green's and Stokes'. Many courses introduce tools such as MATLAB or Python for numerical analysis and visualization, allowing you to apply these concepts to real-world problems in physics, engineering, and economics.
Popular Multivariable Calculus Courses and Certifications
Status: PreviewTecnológico de Monterrey
Skills you'll gain: Graphing, Integral Calculus, Systems Of Measurement, Physics, Calculus, Mechanics, Arithmetic, Physical Science, Algebra, Derivatives
Status: PreviewGeorgia Institute of Technology
Skills you'll gain: Structural Analysis, Probability & Statistics, Hydraulics, Statistics, Mechanical Engineering, Probability, Engineering, Mechanics, Hydrology, Civil Engineering, Algebra, Advanced Mathematics, Calculus, Differential Equations, Geometry, Trigonometry
Status: PreviewÉcole Polytechnique Fédérale de Lausanne
Skills you'll gain: Mechanics, Vibrations, Physics, electromagnetics, Differential Equations, Engineering Analysis, Calculus, Linear Algebra, Mathematical Modeling, Trigonometry, Applied Mathematics
Status: PreviewGeorgia Institute of Technology
Skills you'll gain: Mechanics, Mechanical Engineering, Engineering Analysis, Torque (Physics), Vibrations, Engineering, Physics, Calculus, Mathematical Modeling
Status: PreviewÉcole Polytechnique Fédérale de Lausanne
Skills you'll gain: Differential Equations, Engineering Analysis, Mechanics, Applied Mathematics, Calculus, Linear Algebra, Mathematical Modeling, Physics, Geometry, Vibrations, Derivatives
Status: Free TrialJohns Hopkins University
Skills you'll gain: Regression Analysis, Statistical Modeling, R Programming, Linear Algebra, Data Science, Mathematical Modeling, Data Modeling, Statistics, Statistical Analysis, Applied Mathematics, General Mathematics, Derivatives
Status: PreviewUniversity of Manchester
Skills you'll gain: Chemistry, Physical Science, Physics, Laboratory Experience, Engineering, Experimentation, Mathematical Modeling, Calculus
Status: Free TrialImperial College London
Skills you'll gain: Dimensionality Reduction, NumPy, Data Preprocessing, Unsupervised Learning, Feature Engineering, Jupyter, Statistics, Linear Algebra, Python Programming, Advanced Mathematics, Calculus
Status: PreviewKorea Advanced Institute of Science and Technology(KAIST)
Skills you'll gain: Differential Equations, Applied Mathematics, Advanced Mathematics, Calculus, Linear Algebra, Engineering Analysis, Mathematical Theory & Analysis
Status: Free TrialUniversity of Alberta
Skills you'll gain: Reinforcement Learning, Deep Learning, Feature Engineering, Machine Learning Algorithms, Machine Learning, Supervised Learning, Artificial Neural Networks, Pseudocode, Linear Algebra, Probability Distribution
Status: PreviewKorea Advanced Institute of Science and Technology(KAIST)
Skills you'll gain: Engineering Calculations, Applied Mathematics, Engineering Analysis, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Calculus, Mathematical Modeling, Advanced Mathematics, Machine Learning
Status: PreviewSkills you'll gain: Applied Mathematics, Linear Algebra, Differential Equations, Advanced Mathematics, Algebra, Mathematical Modeling, Mathematical Theory & Analysis
In summary, here are 10 of our most popular multivariable calculus courses
- Física: Dimensión y Movimiento: Tecnológico de Monterrey
- Fundamentals of Engineering Exam Review: Georgia Institute of Technology
- Mécanique du point matériel: École Polytechnique Fédérale de Lausanne
- Engineering Systems in Motion: Dynamics of Particles and Bodies in 2D Motion: Georgia Institute of Technology
- Mécanique de Newton: École Polytechnique Fédérale de Lausanne
- Advanced Linear Models for Data Science 1: Least Squares: Johns Hopkins University
- Introduction to Physical Chemistry: University of Manchester
- Mathematics for Machine Learning: PCA: Imperial College London
- Differential Equations Part II Series Solutions: Korea Advanced Institute of Science and Technology(KAIST)
- Prediction and Control with Function Approximation: University of Alberta
