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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

    • C

      Caltech

      Pricing Options with Mathematical Models

      Skills you'll gain: Derivatives, Financial Market, Risk Modeling, Mathematical Modeling, Financial Modeling, Credit Risk, Risk Management, Portfolio Management, Probability, Differential Equations, Applied Mathematics, Probability Distribution, Calculus

      4.7
      Rating, 4.7 out of 5 stars
      ·
      36 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Essential Linear Algebra for Data Science

      Skills you'll gain: Linear Algebra, Applied Mathematics, Data Science, Data Analysis, Statistical Methods, Algebra

      4.4
      Rating, 4.4 out of 5 stars
      ·
      170 reviews

      Intermediate · Course · 1 - 3 Months

    • I

      Icahn School of Medicine at Mount Sinai

      Dynamical Modeling Methods for Systems Biology

      Skills you'll gain: Matlab, Mathematical Modeling, Differential Equations, Computational Logic, Applied Mathematics, Molecular Biology, Simulations, Statistical Modeling, Biochemistry, Biology, Probability, Electrical Systems

      4.7
      Rating, 4.7 out of 5 stars
      ·
      220 reviews

      Mixed · Course · 1 - 3 Months

    • P

      Packt

      The Complete Quantum Computing Course for Beginners

      Skills you'll gain: Object Oriented Programming (OOP), Python Programming, Data Structures, Data Manipulation, Computer Programming, Applied Mathematics, Algorithms, Mathematics and Mathematical Modeling, Data Processing, Scripting, Linear Algebra, Probability, Mathematical Modeling, IBM Cloud, Computer Science, Algebra, Software Installation, Probability & Statistics, Theoretical Computer Science, Artificial Intelligence and Machine Learning (AI/ML)

      4.2
      Rating, 4.2 out of 5 stars
      ·
      29 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free
      K

      Korea Advanced Institute of Science and Technology(KAIST)

      Introduction to Basic Vibrations

      Skills you'll gain: Vibrations, Mechanics, Mechanical Engineering, Engineering Analysis, Control Systems, Engineering Calculations, Differential Equations, Mathematical Modeling, Applied Mathematics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      515 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      U

      University of Geneva

      Physique des particules - une introduction

      Skills you'll gain: Physics, Engineering, Scientific, and Technical Instruments, Physical Science, Radiation Protection, Laboratory Equipment, Medical Imaging, Science and Research, Experimentation, Applied Mathematics

      4.3
      Rating, 4.3 out of 5 stars
      ·
      83 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Foundations of Quantum Mechanics

      Skills you'll gain: Linear Algebra, Physics, Mechanics, Probability, Advanced Mathematics, Mathematical Modeling, Mathematical Theory & Analysis, Engineering Analysis, Differential Equations, Physical Science

      4.5
      Rating, 4.5 out of 5 stars
      ·
      80 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Effective Communication Capstone Project

      Skills you'll gain: Presentations, Peer Review, Business Writing, Project Design, Graphic Design, Branding, Communication, Public Speaking, Storytelling, Data Science

      4.7
      Rating, 4.7 out of 5 stars
      ·
      164 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Statistical Inference for Estimation in Data Science

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

      4.1
      Rating, 4.1 out of 5 stars
      ·
      88 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Statistics & Mathematics for Data Science & Data Analytics

      Skills you'll gain: Descriptive Statistics, Statistical Hypothesis Testing, Probability, Probability & Statistics, Statistics, Machine Learning Algorithms, Regression Analysis, Statistical Analysis, Data Analysis, Statistical Methods, Probability Distribution, Random Forest Algorithm, Statistical Inference, Predictive Analytics, Correlation Analysis, Sample Size Determination

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      D

      DeepLearning.AI

      Applied Statistics for Data Analytics

      Skills you'll gain: Probability & Statistics, Statistical Analysis, Statistics, Statistical Modeling, Statistical Hypothesis Testing, Statistical Visualization, Descriptive Statistics, Data Analysis, Histogram, Probability, Probability Distribution, Correlation Analysis, Statistical Inference, Estimation, Simulation and Simulation Software, Sampling (Statistics), Analytical Skills, Spreadsheet Software, Generative AI

      4.8
      Rating, 4.8 out of 5 stars
      ·
      17 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Columbia University

      Camera and Imaging

      Skills you'll gain: Image Analysis, Computer Vision, Photography, Color Theory, Computer Graphics, Visualization (Computer Graphics), Electronic Components, Semiconductors, Algorithms, Linear Algebra, Advanced Mathematics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      142 reviews

      Beginner · Course · 1 - 3 Months

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    1…252627…51

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

    • Pricing Options with Mathematical Models: Caltech
    • Essential Linear Algebra for Data Science: University of Colorado Boulder
    • Dynamical Modeling Methods for Systems Biology: Icahn School of Medicine at Mount Sinai
    • The Complete Quantum Computing Course for Beginners: Packt
    • Introduction to Basic Vibrations: Korea Advanced Institute of Science and Technology(KAIST)
    • Physique des particules - une introduction: University of Geneva
    • Foundations of Quantum Mechanics: University of Colorado Boulder
    • Effective Communication Capstone Project: University of Colorado Boulder
    • Statistical Inference for Estimation in Data Science: University of Colorado Boulder
    • Statistics & Mathematics for Data Science & Data Analytics: Packt

    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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