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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

    • 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

    • P

      Packt

      Python Fundamentals and Data Science Essentials

      Skills you'll gain: Matplotlib, Data Visualization, Linear Algebra, NumPy, Seaborn, Pandas (Python Package), Machine Learning, Scikit Learn (Machine Learning Library), Supervised Learning, Python Programming, Jupyter, Data Analysis, Data Manipulation, Classification And Regression Tree (CART), Regression Analysis, Data Structures

      Beginner · Course · 1 - 3 Months

    • U

      University of Michigan

      Measuring Total Data Quality

      Skills you'll gain: Data Quality, Quantitative Research, Data Validation, Data Collection, Data Processing, Data Analysis, Data Access, Statistical Analysis, Sampling (Statistics)

      4.5
      Rating, 4.5 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      Universidad de los Andes

      Introducción al análisis de sistemas de control con MATLAB

      Skills you'll gain: Control Systems, Mathematical Modeling, Matlab, Systems Analysis, Simulations, Systems Design, Differential Equations, Applied Mathematics, Linear Algebra

      4.8
      Rating, 4.8 out of 5 stars
      ·
      48 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      T

      The Hong Kong University of Science and Technology

      Understanding Modern Physics III: Simplicity and Complexity

      Skills you'll gain: Physics, Advanced Mathematics, Simulations, Engineering Calculations, Mechanics, Mathematical Modeling, Calculus, Differential Equations, Physical Science, Information Architecture

      4.8
      Rating, 4.8 out of 5 stars
      ·
      32 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      P

      Politecnico di Milano

      Introduzione alla fisica sperimentale: elettromagnetismo, ottica, fisica moderna

      Skills you'll gain: Physics, Laboratory Experience, Electrical Systems, Experimentation, Basic Electrical Systems, Scientific Methods, Science and Research, Physical Science, Mechanics, Electronics Engineering, Mathematical Modeling, Applied Mathematics, Integral Calculus

      4.7
      Rating, 4.7 out of 5 stars
      ·
      34 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      ANOVA and Experimental Design

      Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Statistical Analysis, Data Ethics, Statistical Modeling, Data Science, A/B Testing, Data Analysis, Regression Analysis, Probability & Statistics, Sample Size Determination

      Build toward a degree

      3.9
      Rating, 3.9 out of 5 stars
      ·
      18 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Generalized Linear Models and Nonparametric Regression

      Skills you'll gain: Statistical Modeling, R Programming, Data Analysis, Data Ethics, Advanced Analytics, Statistical Methods, Regression Analysis, Machine Learning, Classification And Regression Tree (CART), Statistical Inference, Probability Distribution

      Build toward a degree

      4.3
      Rating, 4.3 out of 5 stars
      ·
      20 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Implementation of PhET Activities for STEM Education

      Skills you'll gain: Mathematics Education, Simulations, User Feedback, Experimentation, Technical Documentation

      4.9
      Rating, 4.9 out of 5 stars
      ·
      20 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      É

      École Polytechnique Fédérale de Lausanne

      Thermodynamique : applications

      Skills you'll gain: Chemical Engineering, Mechanical Engineering, Thermal Management, Engineering, Chemical and Biomedical Engineering, Physics, Energy and Utilities, Electrical Power, Process Engineering, Differential Equations, Applied Mathematics, Engineering Analysis, Calculus, Engineering Calculations, Mathematical Modeling

      4.5
      Rating, 4.5 out of 5 stars
      ·
      11 reviews

      Mixed · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Approximation Methods

      Skills you'll gain: Estimation, Engineering Calculations, Applied Mathematics, Mathematical Modeling, Engineering Analysis, Differential Equations, Physics

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      11 reviews

      Intermediate · Course · 1 - 4 Weeks

    • 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

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    1…404142…51

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

    • Rigid Body Dynamics: Korea Advanced Institute of Science and Technology(KAIST)
    • Python Fundamentals and Data Science Essentials: Packt
    • Measuring Total Data Quality: University of Michigan
    • Introducción al análisis de sistemas de control con MATLAB: Universidad de los Andes
    • Understanding Modern Physics III: Simplicity and Complexity: The Hong Kong University of Science and Technology
    • Introduzione alla fisica sperimentale: elettromagnetismo, ottica, fisica moderna: Politecnico di Milano
    • ANOVA and Experimental Design: University of Colorado Boulder
    • Generalized Linear Models and Nonparametric Regression: University of Colorado Boulder
    • Implementation of PhET Activities for STEM Education: University of Colorado Boulder
    • Thermodynamique : applications: École Polytechnique Fédérale de Lausanne

    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

    Mathematics courses on Coursera provide a comprehensive curriculum designed to strengthen your analytical skills and problem-solving abilities, including:

    • Proficiency in core mathematical principles such as algebra, calculus, and geometry
    • Advanced topics like differential equations and complex variables
    • Application of mathematical theories to real-world problems in engineering, physics, and economics
    • Techniques for logical reasoning and abstract thinking
    • Use of mathematical software tools for computation and visualization‎

    Coursera’s mathematics courses are accessible to learners of all backgrounds:

    • Introductory courses do not require prior experience and start with fundamental concepts.
    • Intermediate courses are suitable for those with basic knowledge in mathematics, expanding into more detailed aspects of the subject.
    • Advanced courses target professionals and students looking to deepen their expertise in specialized mathematical areas.‎

    By participating in Coursera’s mathematics courses, you can earn various credentials that reflect your level of expertise:

    • Course certificates for completing individual modules demonstrating essential mathematical knowledge
    • Professional certificates that signify proficiency in specific mathematical fields such as applied mathematics or statistical analysis
    • Degree courses and specializations that can serve as a substantial academic qualification in mathematics‎

    A strong foundation in mathematics can lead to diverse career opportunities in multiple sectors, including:

    • Actuarial Analyst, utilizing mathematical skills to assess risk in insurance and finance
    • Statistical Researcher, providing insights in healthcare, public policy, and technology
    • Cryptanalyst, securing data and communications with advanced mathematical techniques
    • Quantitative Developer, designing algorithms and models in the finance sector
    • Academic roles in education institutions teaching and developing mathematical curriculum

    These careers utilize deep mathematical knowledge to innovate solutions and drive success across various industries.‎

    Yes, Coursera offers a variety of free courses across many topics, including mathematics. While you can access most course materials for free by auditing the courses, this does not include graded assignments or a completion certificate. For those looking to obtain a certificate to showcase their learning or enhance their professional profile, Coursera provides the option to purchase the course. Additionally, Coursera offers free trials or financial aid to learners who qualify, making certifications more accessible to everyone.‎

    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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