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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
      B

      Birla Institute of Technology & Science, Pilani

      Basic Mathematics

      Skills you'll gain: Integral Calculus, Calculus, Arithmetic, Trigonometry, Differential Equations, Algebra, Linear Algebra, Geometry, Graphing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      150 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: Linear Algebra, Matlab, Differential Equations, Integral Calculus, Numerical Analysis, Engineering Calculations, Engineering Analysis, Applied Mathematics, Finite Element Methods, Calculus, Algebra, Geometry, Advanced Mathematics, Engineering, General Mathematics, Mathematical Modeling, Mechanical Engineering, Scripting, Vibrations, Simulation and Simulation Software

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

      Beginner · Specialization · 3 - 6 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, Probability & Statistics, Integral Calculus, Machine Learning Methods, Statistical Analysis, Statistics, Advanced Mathematics, Jupyter, Machine Learning Algorithms, Data Science, Mathematical Modeling, Applied Mathematics, Graph Theory, Artificial Neural Networks, Python Programming, Algorithms

      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: Graphing, Algebra, Mathematical Modeling, Predictive Modeling, Arithmetic, Advanced Mathematics, Applied Mathematics, Linear Algebra, Business Mathematics, Geometry, Scientific Methods

      4.8
      Rating, 4.8 out of 5 stars
      ·
      748 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Preview
      Preview
      J

      Johns Hopkins University

      Foundational Mathematics for AI

      Skills you'll gain: Data Literacy, Linear Algebra, Statistical Visualization, Data Visualization, Mathematical Modeling, Bayesian Statistics, Dimensionality Reduction, Probability & Statistics, Descriptive Statistics, Statistical Methods, Data Analysis, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Probability Distribution, Applied Mathematics, Advanced Mathematics, Calculus, Statistical Modeling, Algebra, Integral Calculus

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 3 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, Combinatorics, Computational Logic, Computational Thinking, Probability, Theoretical Computer Science, Logical Reasoning, Deductive Reasoning, Cryptography, Probability & Statistics, Public Key Cryptography Standards (PKCS), Arithmetic, Algorithms, Mathematical Modeling, Network Analysis, Encryption, Data Structures, Mathematical Theory & Analysis, Operations Research, Computer Security

      4.5
      Rating, 4.5 out of 5 stars
      ·
      3.6K 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, Applied Mathematics, Algebra, Image Analysis, Applied Machine Learning, Engineering Calculations, Geometry, Advanced Mathematics, Mathematical Modeling, Markov Model, Numerical Analysis, Data Transformation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      195 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Preview
      Preview
      U

      University of North Texas

      Math Prep: College & Work Ready

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

      4.5
      Rating, 4.5 out of 5 stars
      ·
      313 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Mathematics for Machine Learning: Linear Algebra

      Skills you'll gain: Linear Algebra, NumPy, Machine Learning Algorithms, Applied Mathematics, Graph Theory, Algorithms, Python Programming, Data Transformation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      12K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Preview
      Preview
      S

      Stanford University

      Introduction to Statistics

      Skills you'll gain: Statistics, Descriptive Statistics, Probability & Statistics, Statistical Analysis, Data Analysis, Statistical Methods, Statistical Modeling, Statistical Inference, Sampling (Statistics), Statistical Hypothesis Testing, Data Science, Regression Analysis, Exploratory Data Analysis, Probability, Probability Distribution

      4.6
      Rating, 4.6 out of 5 stars
      ·
      4.2K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Algebra: Elementary to Advanced - Equations & Inequalities

      Skills you'll gain: Algebra, Arithmetic, Graphing, Applied Mathematics, Mathematical Modeling

      4.8
      Rating, 4.8 out of 5 stars
      ·
      603 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Preview
      Preview
      D

      Duke University

      Data Science Math Skills

      Skills you'll gain: Probability, General Mathematics, Bayesian Statistics, Calculus, Graphing, Descriptive Statistics, Algebra, Derivatives

      4.5
      Rating, 4.5 out of 5 stars
      ·
      13K reviews

      Beginner · Course · 1 - 3 Months

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    1234…20

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

    • Basic Mathematics: Birla Institute of Technology & Science, Pilani
    • 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
    • Foundational Mathematics for AI: Johns Hopkins University
    • Introduction to Discrete Mathematics for Computer Science: University of California San Diego
    • Linear Algebra from Elementary to Advanced: Johns Hopkins University
    • Math Prep: College & Work Ready: University of North Texas
    • Mathematics for Machine Learning: Linear Algebra: Imperial College London
    • Introduction to Statistics: Stanford University

    Why Learn Mathematics?

    Mathematics is the language of patterns, structures, and logical thinking—used to model real-world systems and solve complex problems. It underpins disciplines like science, engineering, finance, and data analytics. Learning mathematics can strengthen your problem-solving skills, support academic success, and open doors to a wide range of careers.

    Frequently Asked Questions about Mathematics

    Top courses include Introduction to Mathematical Thinking from Stanford University, Mathematics for Machine Learning and Data Science from DeepLearning.AI, and Introduction to Discrete Mathematics for Computer Science from UC San Diego. These programs cover topics from basic algebra to calculus, linear algebra, and applications in data science.‎

    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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