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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
      Free
      U

      University of Amsterdam

      Logic for Economists

      Skills you'll gain: Computational Logic, Logical Reasoning, Mathematics and Mathematical Modeling, Deductive Reasoning, General Mathematics

      4.4
      Rating, 4.4 out of 5 stars
      ·
      293 reviews

      Advanced · Course · 1 - 3 Months

    • G

      Google

      Google Advanced Data Analytics

      Skills you'll gain: Exploratory Data Analysis, Data Storytelling, Statistical Hypothesis Testing, Data Ethics, Data Presentation, Data Visualization Software, Sampling (Statistics), Regression Analysis, Feature Engineering, Data Transformation, Descriptive Statistics, Data Visualization, Tableau Software, Data Manipulation, Statistical Analysis, Probability Distribution, Statistical Methods, Applied Machine Learning, Object Oriented Programming (OOP), Data Analysis

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.1K reviews

      Advanced · Professional Certificate · 3 - 6 Months

    • J

      Johns Hopkins University

      Advanced Statistics for Data Science

      Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Regression Analysis, Bayesian Statistics, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistical Methods, Statistical Modeling, Linear Algebra, Probability, R Programming, Biostatistics, Data Science, Probability Distribution, Mathematical Modeling, Data Analysis, Applied Mathematics, Predictive Modeling, Sample Size Determination

      4.4
      Rating, 4.4 out of 5 stars
      ·
      761 reviews

      Advanced · Specialization · 3 - 6 Months

    • U

      University of Colorado Boulder

      Advanced Spacecraft Dynamics and Control

      Skills you'll gain: Vibrations, Control Systems, Mechanics, Torque (Physics), Engineering Analysis, Finite Element Methods, Mechanical Engineering, Simulations, Angular, Engineering Calculations, Differential Equations, Mathematical Modeling, Applied Mathematics, Simulation and Simulation Software, Linear Algebra, Calculus

      4.8
      Rating, 4.8 out of 5 stars
      ·
      14 reviews

      Advanced · Specialization · 1 - 3 Months

    • J

      Johns Hopkins University

      Advanced Linear Models for Data Science 2: Statistical Linear Models

      Skills you'll gain: Regression Analysis, Linear Algebra, R Programming, Probability Distribution, Statistical Modeling, Mathematical Modeling, Probability & Statistics, Applied Mathematics, Statistical Analysis, Integral Calculus

      4.6
      Rating, 4.6 out of 5 stars
      ·
      101 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free
      Free
      P

      Princeton University

      Analysis of Algorithms

      Skills you'll gain: Combinatorics, Algorithms, Theoretical Computer Science, Mathematical Theory & Analysis, Data Structures, Advanced Mathematics, Mathematical Modeling, Probability

      4.4
      Rating, 4.4 out of 5 stars
      ·
      1K reviews

      Advanced · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Dynamic Programming, Greedy Algorithms

      Skills you'll gain: Algorithms, Data Structures, Theoretical Computer Science, Computational Thinking, Computer Science, Programming Principles, Advanced Mathematics, Design Strategies, Linear Algebra, Mathematical Theory & Analysis, Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      221 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free
      Free
      E

      EIT Digital

      I/O-efficient algorithms

      Skills you'll gain: Data Structures, Theoretical Computer Science, Data Storage Technologies, Algorithms, Graph Theory, File Systems, Data Access, Performance Tuning, Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      60 reviews

      Advanced · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Analytical Mechanics for Spacecraft Dynamics

      Skills you'll gain: Engineering Analysis, Vibrations, Mechanics, Finite Element Methods, Differential Equations, Applied Mathematics, Mathematical Modeling, Linear Algebra, Calculus

      4.8
      Rating, 4.8 out of 5 stars
      ·
      10 reviews

      Advanced · Course · 1 - 4 Weeks

    • K

      Korea Advanced Institute of Science and Technology(KAIST)

      Electrodynamics: Analysis of Electric Fields

      Skills you'll gain: Electrical Engineering, Electronic Components, Basic Electrical Systems, Engineering Analysis, Applied Mathematics, Scientific Visualization, Engineering Calculations, Differential Equations, Advanced Mathematics, Physics, Mathematical Modeling, Calculus

      4.8
      Rating, 4.8 out of 5 stars
      ·
      167 reviews

      Advanced · Course · 1 - 3 Months

    • K

      Korea Advanced Institute of Science and Technology(KAIST)

      Electrodynamics: Electric and Magnetic Fields

      Skills you'll gain: Electrical Engineering, Physics, Electrical Systems, Applied Mathematics, Electronic Systems, Mechanics, Energy and Utilities, Engineering Analysis, Differential Equations, Mathematical Modeling, Calculus

      4.8
      Rating, 4.8 out of 5 stars
      ·
      230 reviews

      Advanced · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Advanced Linear Models for Data Science 1: Least Squares

      Skills you'll gain: Regression Analysis, Statistical Modeling, R Programming, Linear Algebra, Data Science, Mathematical Modeling, Predictive Modeling, Statistical Analysis, Applied Mathematics, Advanced Mathematics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      187 reviews

      Advanced · Course · 1 - 3 Months

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    1234

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

    • Logic for Economists: University of Amsterdam
    • Google Advanced Data Analytics: Google
    • Advanced Statistics for Data Science: Johns Hopkins University
    • Advanced Spacecraft Dynamics and Control: University of Colorado Boulder
    • Advanced Linear Models for Data Science 2: Statistical Linear Models: Johns Hopkins University
    • Analysis of Algorithms: Princeton University
    • Dynamic Programming, Greedy Algorithms: University of Colorado Boulder
    • I/O-efficient algorithms: EIT Digital
    • Analytical Mechanics for Spacecraft Dynamics: University of Colorado Boulder
    • Electrodynamics: Analysis of Electric Fields: Korea Advanced Institute of Science and Technology(KAIST)

    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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