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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
      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

    • N

      Nanyang Technological University, Singapore

      Beauty, Form & Function: An Exploration of Symmetry

      Skills you'll gain: Geometry, Design Elements And Principles, Chemistry, Art History, Architectural Design, Physical Science, Biochemistry, Applied Mathematics, Research

      3.7
      Rating, 3.7 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      I

      ISAE-SUPAERO

      Developments of structural dynamics

      Skills you'll gain: Finite Element Methods, Structural Analysis, Vibrations, Engineering Analysis, Mathematical Modeling, Mechanical Engineering, Linear Algebra, Numerical Analysis, Applied Mathematics, Control Systems, Differential Equations

      4.3
      Rating, 4.3 out of 5 stars
      ·
      11 reviews

      Intermediate · Course · 1 - 3 Months

    • 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
      ·
      41 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Implementación de Actividades PhET para la Educación STEM

      Skills you'll gain: Education Software and Technology, Mathematics Education, Simulations, User Feedback

      5
      Rating, 5 out of 5 stars
      ·
      64 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      U

      Universidad Austral

      Jugar y Aprender Matemática en aulas heterogéneas

      Skills you'll gain: Mathematics Education, Childhood Education and Development, Geometry, Arithmetic, Pedagogy, General Mathematics, Learning Theory, Discussion Facilitation

      4.9
      Rating, 4.9 out of 5 stars
      ·
      122 reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      Illinois Tech

      Variable Selection, Model Validation, Nonlinear Regression

      Skills you'll gain: Statistical Inference, Regression Analysis, Statistical Methods, R Programming, Statistical Analysis, Statistical Modeling, Predictive Modeling, Advanced Analytics, Probability & Statistics, Data Validation

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 4 Weeks

    • B

      Banco Interamericano de Desarrollo

      Métodos de educación efectiva

      Skills you'll gain: Childhood Education and Development, Child Development, Student-Centred Learning, Teaching, Diversity Awareness, Pedagogy, Education and Training, Instructional Strategies, Mathematics Education, Human Development, Student Engagement, Human Learning, Parent Communication, Curriculum Development, Adult Education, Professional Development, Socioeconomics, Program Evaluation, Cultural Responsiveness, Working With Children

      4.4
      Rating, 4.4 out of 5 stars
      ·
      21 reviews

      Beginner · Specialization · 1 - 3 Months

    • R

      Rice University

      Physics of Oscillators and Waves

      Skills you'll gain: Mechanics, Physics, Vibrations, Advanced Mathematics, Mathematical Modeling, Differential Equations, Calculus, Trigonometry, Applied Mathematics

      4.9
      Rating, 4.9 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 1 - 4 Weeks

    • H

      Howard University

      Linear Algebra for Data Science Using Python

      Skills you'll gain: Data Wrangling, Linear Algebra, Regression Analysis, Data Manipulation, NumPy, Predictive Modeling, Dimensionality Reduction, Data Science, Applied Mathematics, Python Programming, Statistical Modeling, Mathematical Software, Supervised Learning, Data Visualization Software, Jupyter, Data Analysis, Scikit Learn (Machine Learning Library), Machine Learning Methods, Numerical Analysis, Algebra

      4.2
      Rating, 4.2 out of 5 stars
      ·
      30 reviews

      Beginner · Specialization · 3 - 6 Months

    • P

      Packt

      Deep Learning with Real-World Projects

      Skills you'll gain: Matplotlib, Data Visualization, Deep Learning, Linear Algebra, Artificial Neural Networks, NumPy, Image Analysis, Keras (Neural Network Library), Seaborn, Pandas (Python Package), Tensorflow, Machine Learning, Applied Machine Learning, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Scikit Learn (Machine Learning Library), Supervised Learning, Python Programming, Jupyter, Machine Learning Methods

      Beginner · Specialization · 3 - 6 Months

    • 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

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

    • I/O-efficient algorithms: EIT Digital
    • Beauty, Form & Function: An Exploration of Symmetry: Nanyang Technological University, Singapore
    • Developments of structural dynamics: ISAE-SUPAERO
    • Ethical Issues in Data Science: University of Colorado Boulder
    • Implementación de Actividades PhET para la Educación STEM: University of Colorado Boulder
    • Jugar y Aprender Matemática en aulas heterogéneas: Universidad Austral
    • Variable Selection, Model Validation, Nonlinear Regression: Illinois Tech
    • Métodos de educación efectiva: Banco Interamericano de Desarrollo
    • Physics of Oscillators and Waves: Rice University
    • Linear Algebra for Data Science Using Python: Howard 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

    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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