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.

Imperial College London
Skills you'll gain: Regression Analysis, Calculus, Advanced Mathematics, Machine Learning Algorithms, Linear Algebra, Artificial Neural Networks, Mathematical Modeling, Python Programming, Derivatives
Beginner · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Calculus, Applied Mathematics, Data Modeling, Estimation, Graphing, Mathematical Modeling, Numerical Analysis, Algebra, Mathematical Software, Engineering Calculations, Linear Algebra, Trigonometry, Operations Research, Data Analysis, Graphical Tools, Advanced Mathematics, Derivatives, Mathematical Theory & Analysis, Geometry
Intermediate · Specialization · 3 - 6 Months

Johns Hopkins University
Skills you'll gain: Calculus, Integral Calculus, Numerical Analysis, Advanced Mathematics, Mathematical Theory & Analysis, Data Integration, Mathematical Modeling, Data Analysis, Vector Databases, Probability, Geometry, Applied Mathematics, Mechanics, Engineering Calculations, Spatial Data Analysis, Derivatives, Physics
Intermediate · Specialization · 3 - 6 Months

Johns Hopkins University
Skills you'll gain: Linear Algebra, Algebra, Applied Mathematics, Advanced Mathematics, Artificial Intelligence and Machine Learning (AI/ML), Mathematical Modeling, Engineering Analysis, Mathematical Theory & Analysis, Numerical Analysis, Geometry, Data Transformation, Applied Machine Learning, Dimensionality Reduction, Markov Model, Probability
Beginner · Specialization · 3 - 6 Months

The University of Sydney
Skills you'll gain: Advanced Mathematics, Integral Calculus, Calculus, Mathematical Theory & Analysis, Differential Equations, Applied Mathematics, Engineering Calculations, Mathematical Modeling, Linear Algebra, Physics, Derivatives
Intermediate · Course · 1 - 4 Weeks

The Hong Kong University of Science and Technology
Skills you'll gain: Integral Calculus, Engineering Calculations, Calculus, Engineering Analysis, electromagnetics, Engineering, Geometry, Advanced Mathematics, Mechanical Engineering, Applied Mathematics, Mechanics, Electrical Engineering, Physics, Derivatives
Beginner · Course · 1 - 3 Months

The Hong Kong University of Science and Technology
Skills you'll gain: Differential Equations, Linear Algebra, Matlab, Engineering Calculations, Engineering Analysis, Numerical Analysis, Finite Element Methods, Integral Calculus, Mathematical Software, Mechanical Engineering, Calculus, electromagnetics, Algebra, Applied Mathematics, Mathematical Modeling, Engineering, Simulation and Simulation Software, Advanced Mathematics, Geometry, Computational Thinking
Beginner · Specialization · 3 - 6 Months

Imperial College London
Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Applied Mathematics, Data Preprocessing, Unsupervised Learning, Feature Engineering, Machine Learning Algorithms, Jupyter, Advanced Mathematics, Statistics, Artificial Neural Networks, Algorithms, Mathematical Modeling, Python Programming, Derivatives
Beginner · Specialization · 3 - 6 Months

Johns Hopkins University
Skills you'll gain: Data Analysis, Applied Mathematics, Mathematical Modeling, Graphing, Trigonometry, R (Software), Analytical Skills, General Mathematics, Statistics, Algebra, Systems Of Measurement, Correlation Analysis, Regression Analysis, Calculus, Geometry
Beginner · Specialization · 3 - 6 Months

University of Pennsylvania
Skills you'll gain: Calculus, Engineering Calculations, Mathematical Theory & Analysis, Algebra, Advanced Mathematics, Applied Mathematics, Derivatives
Mixed · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Integral Calculus, Calculus, Data Integration, Vector Databases, Mathematical Theory & Analysis, Advanced Mathematics, Applied Mathematics, Mathematical Modeling, Spatial Data Analysis, Geometry, Physics
Intermediate · Course · 1 - 4 Weeks

Birla Institute of Technology & Science, Pilani
Skills you'll gain: Data Analysis, Computational Logic, Engineering Calculations, Trigonometry, Linear Algebra, Engineering Analysis, Logical Reasoning, Deductive Reasoning, Probability & Statistics, Statistical Analysis, Calculus, Analytical Skills, Bayesian Statistics, Differential Equations, Programming Principles, Statistical Inference, Theoretical Computer Science, Numerical Analysis, Descriptive Analytics, Applied Mathematics
Beginner · Specialization · 3 - 6 Months
Multivariable calculus is a branch of mathematics that extends the concepts of single-variable calculus to functions of multiple variables. It is essential for understanding complex systems in fields such as physics, engineering, economics, and data science. By analyzing functions that depend on two or more variables, multivariable calculus helps in modeling real-world phenomena, optimizing processes, and solving problems involving multiple dimensions.‎
A background in multivariable calculus can open doors to various career paths. Jobs that often require this knowledge include data analyst, engineer, physicist, and financial analyst. These roles leverage the principles of multivariable calculus to analyze data, design systems, and solve complex problems. Additionally, positions in academia and research also value expertise in this area, as it is fundamental to advanced studies in mathematics and applied sciences.‎
To learn multivariable calculus effectively, you should have a solid foundation in single-variable calculus and algebra. Key skills include understanding limits, derivatives, and integrals, as well as familiarity with vector functions and partial derivatives. Additionally, proficiency in mathematical reasoning and problem-solving will enhance your ability to tackle complex concepts and applications in multivariable calculus.‎
Some of the best online courses for multivariable calculus include specialized programs that focus on its applications. For example, the Calculus through Data & Modeling: Vector Calculus course offers insights into vector functions and their applications. Additionally, the Differential Calculus through Data and Modeling Specialization provides a comprehensive approach to understanding calculus concepts in a practical context.‎
Yes. You can start learning multivariable calculus on Coursera for free in two ways:
If you want to keep learning, earn a certificate in multivariable calculus, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎
To learn multivariable calculus, start by reviewing single-variable calculus concepts and ensuring you are comfortable with algebra. Then, explore online courses that focus on multivariable topics. Engage with practice problems, utilize visual aids to understand geometric interpretations, and apply concepts to real-world scenarios. Consistent practice and seeking help from online forums or study groups can also enhance your learning experience.‎
Typical topics covered in multivariable calculus courses include partial derivatives, multiple integrals, vector calculus, and optimization techniques. Students often learn about gradient vectors, divergence, curl, and the application of these concepts in real-world problems. Understanding these topics is crucial for applying multivariable calculus in various fields, such as physics and engineering.‎
For training and upskilling employees, courses like the Calculus for Engineers can be particularly beneficial. This course focuses on practical applications of calculus in engineering contexts, making it ideal for professionals looking to enhance their skills. Additionally, the Integral Calculus through Data and Modeling Specialization offers a comprehensive understanding of integral calculus, which is valuable for various technical roles.‎