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Mathematics Courses

Mathematics courses can help you learn how to think analytically, solve problems logically, and apply quantitative reasoning across academic and professional fields.

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Find the best Mathematics course for your goals

  • Status: Preview
    Preview
    S

    Stanford University

    Introduction to Mathematical Thinking

    Skills you'll gain: Mathematical Theory & Analysis, Mathematics and Mathematical Modeling, Calculus, Deductive Reasoning, Logical Reasoning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    B

    Birla Institute of Technology & Science, Pilani

    Basic Engineering Mathematics

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

    4.6
    Rating, 4.6 out of 5 stars
    ·
    157 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    T

    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, Mechanical Engineering, Calculus, Algebra, Applied Mathematics, Mathematical Modeling, Engineering, Advanced Mathematics, Geometry, Simulation and Simulation Software, Scripting, General Mathematics, Simulations

    4.8
    Rating, 4.8 out of 5 stars
    ·
    7.6K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Mathematics for Machine Learning and Data Science

    Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Linear Algebra, Statistical Inference, A/B Testing, Statistical Analysis, Applied Mathematics, NumPy, Probability, Calculus, Dimensionality Reduction, Numerical Analysis, Mathematical Modeling, Machine Learning, Machine Learning Methods, Data Transformation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.9K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Mathematics for Machine Learning

    Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Applied Mathematics, Probability & Statistics, Machine Learning Algorithms, Jupyter, Data Science, Advanced Mathematics, Statistics, Statistical Analysis, Artificial Neural Networks, Algorithms, Data Manipulation, Python Programming, Machine Learning, Derivatives

    4.6
    Rating, 4.6 out of 5 stars
    ·
    15K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Algebra: Elementary to Advanced

    Skills you'll gain: Algebra, Mathematical Modeling, Graphing, Arithmetic, Advanced Mathematics, Applied Mathematics, General Mathematics, Analytical Skills, Probability & Statistics, Geometry

    4.8
    Rating, 4.8 out of 5 stars
    ·
    764 reviews

    Beginner · Specialization · 3 - 6 Months

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Linear Algebra from Elementary to Advanced

    Skills you'll gain: Linear Algebra, Algebra, Applied Mathematics, Artificial Intelligence and Machine Learning (AI/ML), Mathematical Modeling, Advanced Mathematics, Engineering Analysis, Mathematical Theory & Analysis, Numerical Analysis, Geometry, Graph Theory, Applied Machine Learning, Markov Model, Probability

    4.7
    Rating, 4.7 out of 5 stars
    ·
    201 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Introduction to Discrete Mathematics for Computer Science

    Skills you'll gain: Graph Theory, Logical Reasoning, Cryptographic Protocols, Combinatorics, Computational Logic, Deductive Reasoning, Cryptography, Probability, Key Management, Computational Thinking, Encryption, Probability Distribution, Network Analysis, Public Key Cryptography Standards (PKCS), Theoretical Computer Science, Bayesian Statistics, Python Programming, Data Structures, Algorithms, Arithmetic

    4.5
    Rating, 4.5 out of 5 stars
    ·
    3.7K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of Pittsburgh

    Mathematical Foundations for Data Science and Analytics

    Skills you'll gain: Statistical Analysis, NumPy, Probability Distribution, Matplotlib, Statistics, Pandas (Python Package), Data Science, Probability & Statistics, Probability, Statistical Modeling, Predictive Modeling, Data Analysis, Linear Algebra, Predictive Analytics, Statistical Methods, Mathematics and Mathematical Modeling, Applied Mathematics, Python Programming, Machine Learning, Logical Reasoning

    Build toward a degree

    Beginner · Specialization · 1 - 3 Months

  • Status: Preview
    Preview
    T

    The University of Sydney

    Introduction to Calculus

    Skills you'll gain: Calculus, Integral Calculus, Algebra, Advanced Mathematics, Geometry, Engineering Calculations, Trigonometry, Arithmetic, Derivatives, Mathematical Modeling, Graphing, Estimation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.9K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of North Texas

    Math Prep: College & Work Ready

    Skills you'll gain: Arithmetic, Probability & Statistics, Graphing, Geometry, Statistics, Algebra, Applied Mathematics, Systems Of Measurement

    4.5
    Rating, 4.5 out of 5 stars
    ·
    318 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    B

    Birla Institute of Technology & Science, Pilani

    Mathematics for Engineering

    Skills you'll gain: Engineering Calculations, Data Analysis, Trigonometry, Engineering Analysis, Probability & Statistics, Computational Logic, Statistical Analysis, Linear Algebra, Logical Reasoning, Deductive Reasoning, Calculus, Analytics, Bayesian Statistics, Statistical Modeling, Artificial Intelligence and Machine Learning (AI/ML), Differential Equations, Statistical Inference, Theoretical Computer Science, Programming Principles, Descriptive Analytics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    161 reviews

    Beginner · Specialization · 3 - 6 Months

Mathematics learners also search

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1234…55

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

  • Introduction to Mathematical Thinking: Stanford University
  • Basic Engineering Mathematics: Birla Institute of Technology & Science, Pilani
  • Mathematics for Engineers: The Hong Kong University of Science and Technology
  • Mathematics for Machine Learning and Data Science: DeepLearning.AI
  • Mathematics for Machine Learning: Imperial College London
  • Algebra: Elementary to Advanced: Johns Hopkins University
  • Linear Algebra from Elementary to Advanced: Johns Hopkins University
  • Introduction to Discrete Mathematics for Computer Science: University of California San Diego
  • Mathematical Foundations for Data Science and Analytics: University of Pittsburgh
  • Introduction to Calculus: The University of Sydney

Frequently Asked Questions about Mathematics

Browse the mathematics courses below—popular starting points on Coursera.

  • Basic Engineering Mathematics: Birla Institute of Technology & Science, Pilani
  • Mathematics for Machine Learning and Data Science: DeepLearning.AI
  • Honors Algebra 2: Johns Hopkins University
  • Introduction to Mathematical Thinking: Stanford University
  • Foundational Mathematics for AI: Johns Hopkins University
  • Mathematics for Engineers: The Hong Kong University of Science and Technology
  • Mathematics for Machine Learning: Imperial College London
  • Algebra: Elementary to Advanced: Johns Hopkins University‎

Yes. You can start learning mathematics on Coursera for free in two ways:

  • Preview the first module of many mathematics courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
  • 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 mathematics, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

You’ll learn core topics like algebra, calculus, probability, and discrete mathematics. Some courses also cover applied topics like statistics, mathematical modeling, and math for engineering or computer science.‎

Not at all. Many Coursera courses are beginner-friendly and start with foundational concepts, making them great for learners who want to build skills step by step. Advanced learners can find specialized courses on topics like differential equations, linear algebra, or mathematical proofs.‎

Yes. Mathematics is essential in many fields, including engineering, economics, data science, and computer programming. Coursera courses can help you build skills that support academic success, strengthen job readiness, and open doors to careers in STEM and analytical 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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