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  • Multivariable Calculus

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


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    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
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    5.8K reviews

    Beginner · Course · 1 - 3 Months

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    Johns Hopkins University

    Differential Calculus through Data and Modeling

    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

    4.8
    Rating, 4.8 out of 5 stars
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    386 reviews

    Intermediate · Specialization · 3 - 6 Months

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    Johns Hopkins University

    Integral Calculus through Data and Modeling

    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

    4.8
    Rating, 4.8 out of 5 stars
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    138 reviews

    Intermediate · Specialization · 3 - 6 Months

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    Johns Hopkins University

    Linear Algebra from Elementary to Advanced

    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

    4.7
    Rating, 4.7 out of 5 stars
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    218 reviews

    Beginner · Specialization · 3 - 6 Months

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    The Hong Kong University of Science and Technology

    Vector Calculus for Engineers

    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

    4.8
    Rating, 4.8 out of 5 stars
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    1.4K reviews

    Beginner · Course · 1 - 3 Months

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    The University of Sydney

    Introduction to Advanced Calculus

    Skills you'll gain: Advanced Mathematics, Integral Calculus, Calculus, Mathematical Theory & Analysis, Differential Equations, Applied Mathematics, Engineering Calculations, Mathematical Modeling, Linear Algebra, Physics, Derivatives

    4.6
    Rating, 4.6 out of 5 stars
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    25 reviews

    Intermediate · Course · 1 - 4 Weeks

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
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    The Hong Kong University of Science and Technology

    Mathematics for Engineers

    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

    4.8
    Rating, 4.8 out of 5 stars
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    7.7K reviews

    Beginner · Specialization · 3 - 6 Months

  • Next level skills. New Year savings.

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    I

    Imperial College London

    Mathematics for Machine Learning

    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

    4.6
    Rating, 4.6 out of 5 stars
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    15K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Precalculus through Data and Modelling

    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

    4.7
    Rating, 4.7 out of 5 stars
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    320 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free
    Free
    U

    University of Pennsylvania

    Calculus: Single Variable Part 1 - Functions

    Skills you'll gain: Calculus, Engineering Calculations, Mathematical Theory & Analysis, Algebra, Advanced Mathematics, Applied Mathematics, Derivatives

    4.7
    Rating, 4.7 out of 5 stars
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    2.4K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    T

    The Hong Kong University of Science and Technology

    Matrix Algebra for Engineers

    Skills you'll gain: Linear Algebra, Engineering Calculations, Algebra, Engineering Analysis, General Mathematics, Advanced Mathematics, Applied Mathematics, Arithmetic, Computational Logic

    4.9
    Rating, 4.9 out of 5 stars
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    4.6K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Calculus through Data & Modelling: Vector Calculus

    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

    4.7
    Rating, 4.7 out of 5 stars
    ·
    46 reviews

    Intermediate · Course · 1 - 4 Weeks

What brings you to Coursera today?

Searches related to multivariable calculus

mathematics for machine learning: multivariate calculus
çok değişkenli fonksiyon ii: uygulamalar / multivariable calculus ii: applications
çok değişkenli fonksiyon i: kavramlar / multivariable calculus i: concepts
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In summary, here are 10 of our most popular multivariable calculus courses

  • Mathematics for Machine Learning: Multivariate Calculus: Imperial College London
  • Differential Calculus through Data and Modeling: Johns Hopkins University
  • Integral Calculus through Data and Modeling: Johns Hopkins University
  • Linear Algebra from Elementary to Advanced: Johns Hopkins University
  • Vector Calculus for Engineers: The Hong Kong University of Science and Technology
  • Introduction to Advanced Calculus: The University of Sydney
  • Mathematics for Engineers: The Hong Kong University of Science and Technology
  • Mathematics for Machine Learning: Imperial College London
  • Precalculus through Data and Modelling: Johns Hopkins University
  • Calculus: Single Variable Part 1 - Functions: University of Pennsylvania

Skills you can learn in Machine Learning

Python Programming (33)
Tensorflow (32)
Deep Learning (30)
Artificial Neural Network (24)
Big Data (18)
Statistical Classification (17)
Reinforcement Learning (13)
Algebra (10)
Bayesian (10)
Linear Algebra (10)
Linear Regression (9)
Numpy (9)

Frequently Asked Questions about Multivariable Calculus

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:

  1. Preview the first module of many multivariable calculus courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
  2. Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

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.‎

This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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