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    • Calculus

    Calculus Courses Online

    Master calculus for mathematical analysis and problem-solving. Learn differential and integral calculus concepts and their applications.

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    Explore the Calculus Course Catalog

    • Johns Hopkins University

      Calculus through Data & Modeling: Limits & Derivatives

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

      4.7
      Rating, 4.7 out of 5 stars
      ·
      195 reviews

      Beginner · Course · 1 - 3 Months

    • Johns Hopkins University

      Precalculus: Periodic Functions

      Skills you'll gain: Trigonometry, Systems Of Measurement, Geometry, Mathematical Modeling, Graphing, Algebra, Applied Mathematics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      105 reviews

      Beginner · Course · 1 - 3 Months

    • Johns Hopkins University

      Algebra: Elementary to Advanced - Equations & Inequalities

      Skills you'll gain: Algebra, Arithmetic, Mathematical Modeling, Graphing, Probability & Statistics, Calculus

      4.8
      Rating, 4.8 out of 5 stars
      ·
      582 reviews

      Beginner · Course · 1 - 3 Months

    • University of Michigan

      Introduction to Thermodynamics: Transferring Energy from Here to There

      Skills you'll gain: Mechanical Engineering, Thermal Management, Engineering, Physics, Engineering Analysis, Process Engineering, Plant Operations and Management, Physical Science, Process Analysis, Environment

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.4K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free

      Georgia Institute of Technology

      Engineering Systems in Motion: Dynamics of Particles and Bodies in 2D Motion

      Skills you'll gain: Mechanics, Mechanical Engineering, Engineering Analysis, Torque (Physics), Engineering Calculations, Engineering, Systems Engineering, Physics, Structural Analysis, Physical Science, Applied Mathematics, Integral Calculus, Derivatives

      4.9
      Rating, 4.9 out of 5 stars
      ·
      742 reviews

      Mixed · Course · 1 - 3 Months

    • École Polytechnique Fédérale de Lausanne

      Digital Signal Processing

      Skills you'll gain: Digital Communications, Image Analysis, Electrical Engineering, Electrical and Computer Engineering, Embedded Systems, Electronic Systems, Engineering Analysis, Programming Principles, Computer Engineering, Numerical Analysis, Advanced Mathematics, Algorithms, Linear Algebra, Systems Of Measurement, Mathematical Modeling, Calculus, Basic Electrical Systems, Python Programming, Applied Mathematics, Time Series Analysis and Forecasting

      4.5
      Rating, 4.5 out of 5 stars
      ·
      777 reviews

      Intermediate · Specialization · 3 - 6 Months

    • IBM

      Unsupervised Machine Learning

      Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Feature Engineering, Machine Learning, Statistical Machine Learning, Text Mining, Data Mining, Data Science, Unstructured Data, Big Data, NumPy, Data Analysis, Natural Language Processing, Linear Algebra

      4.7
      Rating, 4.7 out of 5 stars
      ·
      313 reviews

      Intermediate · Course · 1 - 3 Months

    • Johns Hopkins University

      Calculus through Data & Modelling: Integration Applications

      Skills you'll gain: Integral Calculus, Calculus, Geometry, Applied Mathematics, Mechanics, Mathematical Modeling, Advanced Mathematics, Graphing, Physics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      23 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Johns Hopkins University

      Calculus through Data & Modelling: Techniques of Integration

      Skills you'll gain: Integral Calculus, Numerical Analysis, Calculus, Probability, Applied Mathematics, Advanced Mathematics, Geometry, Graphing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      52 reviews

      Intermediate · Course · 1 - 4 Weeks

    • University of Alberta

      Prediction and Control with Function Approximation

      Skills you'll gain: Reinforcement Learning, Deep Learning, Machine Learning, Supervised Learning, Artificial Neural Networks, Pseudocode, Linear Algebra

      4.8
      Rating, 4.8 out of 5 stars
      ·
      834 reviews

      Intermediate · Course · 1 - 3 Months

    • University of Toronto

      Introduction to Self-Driving Cars

      Skills you'll gain: Automation, Simulation and Simulation Software, Software Architecture, Hardware Architecture, Process Control, Systems Architecture, Computer Vision, Verification And Validation, Mathematical Modeling, Mechanical Engineering, Safety and Security

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.9K reviews

      Advanced · Course · 1 - 3 Months

    • University of Michigan

      The Finite Element Method for Problems in Physics

      Skills you'll gain: Finite Element Methods, Differential Equations, Engineering Analysis, Numerical Analysis, Mathematical Modeling, Advanced Mathematics, Linear Algebra, C++ (Programming Language), Object Oriented Programming (OOP), Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      551 reviews

      Intermediate · Course · 3 - 6 Months

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    In summary, here are 10 of our most popular calculus courses

    • Calculus through Data & Modeling: Limits & Derivatives: Johns Hopkins University
    • Precalculus: Periodic Functions: Johns Hopkins University
    • Algebra: Elementary to Advanced - Equations & Inequalities: Johns Hopkins University
    • Introduction to Thermodynamics: Transferring Energy from Here to There: University of Michigan
    • Engineering Systems in Motion: Dynamics of Particles and Bodies in 2D Motion: Georgia Institute of Technology
    • Digital Signal Processing: École Polytechnique Fédérale de Lausanne
    • Unsupervised Machine Learning: IBM
    • Calculus through Data & Modelling: Integration Applications: Johns Hopkins University
    • Calculus through Data & Modelling: Techniques of Integration: Johns Hopkins University
    • Prediction and Control with Function Approximation: University of Alberta

    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 Calculus

    Calculus is the study and explanation of rates of change. Calculus is one of several parts of mathematical concepts that help us to understand the movement of separate elements in changing circumstances and environments. Assessing how and why things change at different rates is the underpinning philosophy of this branch of mathematics.

    There are two general types of calculus determination. Differential calculus figures out the rate of change in a particular number of something. And integral calculus attempts to find the number in circumstances where you already know the rate of change.‎

    It's important for you to learn calculus because it's required for any number of degrees in mathematical sciences, like chemistry, physics, and life sciences. Calculus topics are also used in today's modern computational careers, like machine learning and artificial intelligence. Learning calculus can teach you about logical thought and process construction, along with problem-solving skills and equational thinking as well.

    Humankind has used calculus for centuries to understand rates of change. Knowing calculus can help you understand changes in temperature rates, changes in pricing structures, and changes in velocity among objects.‎

    Some of the careers associated with having calculus as a requirement include statistics and computer modeling jobs, economics, mathematics roles, engineering jobs, and computer animation and game development. You should be able to apply calculus learning in various fields like health care, technology, education, and life sciences. For example, as a statistician, you would need to know calculus to analyze changes in data in statistical programs.

    If you're geared toward working in a mathematics and numbers-focused career, you'll certainly have to learn calculus as one of your required courses toward a higher education degree in programming, machine learning, gaming development, and other learning paths. For instance, you can use calculus in structural engineering to assess the weight of vehicles and the speeds they travel on roads and highways. Learning about calculus gives you a broader base of mathematical uses in today's world.‎

    When you take online calculus courses, you can gain a deeper understanding of calculus, its wide variety of applications in today's programming environments, and a richer foundation for the rates of change in our society. Modern applications of integral calculus, for example, are used in computations that involve volume, area, mass, pressure, and arc length. For anyone already working in an engineering role or physical sciences occupation, learning more about calculus in online courses could make an impact on moving your career to higher levels.‎

    Online Calculus courses offer a convenient and flexible way to enhance your existing knowledge or learn new Calculus skills. With a wide range of Calculus classes, you can conveniently learn at your own pace to advance your Calculus career skills.‎

    When looking to enhance your workforce's skills in Calculus, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    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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