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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: Free Trial
      Free Trial
      U

      University of Pennsylvania

      Statistics for Data Science Essentials

      Skills you'll gain: Probability, Probability & Statistics, Sampling (Statistics), Probability Distribution, Statistics, Data Science, Statistical Inference, Descriptive Statistics, Statistical Analysis, General Mathematics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Ethical Issues in Data Science

      Skills you'll gain: Data Ethics, Healthcare Ethics, Ethical Standards And Conduct, Data Security, Data Science, Medical Privacy, Machine Learning Algorithms, Algorithms, Information Privacy, Artificial Intelligence, Diversity Awareness, Cybersecurity, Emerging Technologies

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      42 reviews

      Beginner · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Fundamentals of Scientific Research Under Uncertainty

      Skills you'll gain: Science and Research, Scientific Methods, Research, General Science and Research, Critical Thinking, Probability, Research Design, Probability & Statistics, Bayesian Statistics, Research Methodologies, Decision Making

      4.9
      Rating, 4.9 out of 5 stars
      ·
      34 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Statistical Methods for Computer Science

      Skills you'll gain: Network Analysis, R Programming, Statistical Analysis, Regression Analysis, Statistical Modeling, Statistical Methods, Combinatorics, Bayesian Network, Statistical Hypothesis Testing, Data Analysis, Probability, Probability & Statistics, Bayesian Statistics, Probability Distribution, Simulations, Data Science, Markov Model, Applied Mathematics, Graph Theory, Statistics

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
      K

      Korea Advanced Institute of Science and Technology(KAIST)

      Math for AI Beginner Part 2 : Vector Calulus

      Skills you'll gain: Integral Calculus, Applied Mathematics, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Calculus, Mathematics and Mathematical Modeling, Mathematical Modeling, Advanced Mathematics, Machine Learning

      Beginner · Course · 1 - 3 Months

    • K

      Korea Advanced Institute of Science and Technology(KAIST)

      Particle Dynamics

      Skills you'll gain: Mechanics, Mechanical Engineering, Engineering Analysis, Physics, Engineering Calculations, Differential Equations, Integral Calculus, Calculus, Mathematical Modeling, Applied Mathematics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      33 reviews

      Intermediate · Course · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of London

      Statistics and Clustering in Python

      Skills you'll gain: Pandas (Python Package), NumPy, Probability & Statistics, Unsupervised Learning, Data Science, Statistics, Data Analysis, Statistical Analysis, Jupyter, Machine Learning Algorithms, Data Manipulation, Descriptive Statistics, Matplotlib, Data Visualization Software, Python Programming

      4.4
      Rating, 4.4 out of 5 stars
      ·
      11 reviews

      Beginner · Course · 1 - 4 Weeks

    • K

      Korea Advanced Institute of Science and Technology(KAIST)

      Rigid Body Dynamics

      Skills you'll gain: Mechanics, Mechanical Engineering, Torque (Physics), Vibrations, Engineering Analysis, Engineering Calculations, Physics, Applied Mathematics, Calculus

      4.6
      Rating, 4.6 out of 5 stars
      ·
      26 reviews

      Intermediate · Course · 3 - 6 Months

    • U

      Universiteit Leiden

      Population Health: Predictive Analytics

      Skills you'll gain: Predictive Analytics, Predictive Modeling, Risk Modeling, R Programming, Statistical Modeling, Sample Size Determination, Statistical Inference, Regression Analysis, Statistical Machine Learning, Feature Engineering, Sampling (Statistics), Data Manipulation, Data Validation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      24 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Physics 102 - Magnetic Fields and Faraday's Law

      Skills you'll gain: Torque (Physics), Physics, Electrical Engineering, Basic Electrical Systems, Applied Mathematics, Engineering Calculations, Mechanics, Calculus, Engineering Analysis, Trigonometry

      4.8
      Rating, 4.8 out of 5 stars
      ·
      24 reviews

      Intermediate · Course · 1 - 4 Weeks

    • P

      Packt

      The STATA OMNIBUS: Regression and Modelling with STATA

      Skills you'll gain: Stata, Regression Analysis, Statistical Modeling, Statistical Analysis, Advanced Analytics, Correlation Analysis, Statistical Visualization, Data Manipulation, Sampling (Statistics), Statistical Hypothesis Testing, Descriptive Statistics

      Beginner · Course · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      Dartmouth College

      Question Reality! Science, philosophy, a search for meaning

      Skills you'll gain: Scientific Methods, Theoretical Computer Science, Logical Reasoning, General Science and Research, Physics, Physical Science, Artificial Intelligence, Computational Thinking, Mathematics and Mathematical Modeling, Experimentation, Simulations, Computer Science, Psychology, Science and Research, Ancient History, Vibrations, Mechanics, Chemistry, Research, World History

      4.8
      Rating, 4.8 out of 5 stars
      ·
      32 reviews

      Beginner · Specialization · 1 - 3 Months

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    1…383940…51

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

    • Statistics for Data Science Essentials: University of Pennsylvania
    • Ethical Issues in Data Science: University of Colorado Boulder
    • Fundamentals of Scientific Research Under Uncertainty: Johns Hopkins University
    • Statistical Methods for Computer Science: Johns Hopkins University
    • Math for AI Beginner Part 2 : Vector Calulus: Korea Advanced Institute of Science and Technology(KAIST)
    • Particle Dynamics: Korea Advanced Institute of Science and Technology(KAIST)
    • Statistics and Clustering in Python: University of London
    • Rigid Body Dynamics: Korea Advanced Institute of Science and Technology(KAIST)
    • Population Health: Predictive Analytics: Universiteit Leiden
    • Physics 102 - Magnetic Fields and Faraday's Law: Rice 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. Many mathematics courses offer a free audit option, allowing learners to access video lessons and reading materials at no cost. To complete assignments or earn a certificate, you’ll need to 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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