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    • Mathematics

    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

    • J

      Johns Hopkins University

      Precalculus: Periodic Functions

      Skills you'll gain: Trigonometry, Systems Of Measurement, Geometry, Mathematical Modeling, Graphing, Algebra, Applied Mathematics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      106 reviews

      Beginner · Course · 1 - 3 Months

    • C

      Columbia University

      Financial Engineering and Risk Management

      Skills you'll gain: Portfolio Management, Derivatives, Financial Market, Securities (Finance), Investment Management, Financial Systems, Asset Management, Credit Risk, Actuarial Science, Mortgage Loans, Mathematical Modeling, Mathematics and Mathematical Modeling, Applied Mathematics, Financial Trading, Financial Modeling, Risk Modeling, Regression Analysis, Market Liquidity, Capital Markets, Statistical Methods

      4.6
      Rating, 4.6 out of 5 stars
      ·
      372 reviews

      Intermediate · Specialization · 3 - 6 Months

    • J

      Johns Hopkins University

      Calculus through Data & Modeling: Precalculus Review

      Skills you'll gain: Data Modeling, Graphing, Mathematical Modeling, Algebra, Trigonometry, Linear Algebra, Calculus, Mathematical Software, Applied Mathematics, Geometry

      4.8
      Rating, 4.8 out of 5 stars
      ·
      112 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Graphic Design

      Skills you'll gain: Graphic Design, Graphic and Visual Design, Graphic and Visual Design Software, Design, Visual Design, Typography, Adobe InDesign, Design Reviews, Adobe Photoshop, Design Elements And Principles, Peer Review, Color Theory, Editing, Creativity

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.3K reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Colorado System

      Mathematical Foundations for Cryptography

      Skills you'll gain: Cryptography, Arithmetic, Algorithms, Applied Mathematics, Probability, Computer Science

      4.6
      Rating, 4.6 out of 5 stars
      ·
      329 reviews

      Beginner · Course · 1 - 4 Weeks

    • D

      Duke University

      Inferential Statistics

      Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Statistical Reporting, Statistical Methods, R Programming, Statistical Software, Statistical Analysis, Probability & Statistics, Data Literacy, Sampling (Statistics), Probability Distribution, Software Installation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.7K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      U

      University of Pennsylvania

      Calculus: Single Variable Part 4 - Applications

      Skills you'll gain: Calculus, Integral Calculus, Applied Mathematics, Probability & Statistics, Geometry, Probability, Advanced Mathematics, Torque (Physics), Statistics, Mechanics, Mathematical Modeling, Physics

      4.9
      Rating, 4.9 out of 5 stars
      ·
      274 reviews

      Mixed · Course · 1 - 3 Months

    • G

      Georgia Institute of Technology

      Fundamentals of Engineering Exam Review

      Skills you'll gain: Structural Analysis, Probability & Statistics, Structural Engineering, Hydraulics, Statistical Methods, Statistics, Engineering Analysis, Mechanical Engineering, Probability, Engineering, Probability Distribution, Mechanics, Engineering Calculations, Civil Engineering, Applied Mathematics, Algebra, Advanced Mathematics, Calculus, Differential Equations, Geometry

      4.6
      Rating, 4.6 out of 5 stars
      ·
      611 reviews

      Mixed · Course · 1 - 3 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

    • I

      IIMA - IIM Ahmedabad

      Pre-MBA Statistics

      Skills you'll gain: Sampling (Statistics), Probability, Statistical Hypothesis Testing, Statistics, Data Literacy, Probability Distribution, Statistical Methods, Statistical Inference, Estimation, Descriptive Statistics, Data Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      279 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      N

      National Taiwan University

      頑想學概率:機率一 (Probability (1))

      Skills you'll gain: Probability, Probability Distribution, Probability & Statistics, Statistics, Data Literacy

      4.8
      Rating, 4.8 out of 5 stars
      ·
      360 reviews

      Beginner · Course · 1 - 3 Months

    • G

      Google

      The Power of Statistics

      Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Descriptive Statistics, Data Analysis, Statistical Analysis, Probability Distribution, Statistical Methods, Advanced Analytics, Analytics, Statistics, Data Literacy, Statistical Inference, Probability, Statistical Software, Statistical Programming, A/B Testing, Sample Size Determination, Jupyter, Technical Communication

      4.8
      Rating, 4.8 out of 5 stars
      ·
      780 reviews

      Advanced · Course · 1 - 3 Months

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    1…101112…51

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

    • Precalculus: Periodic Functions: Johns Hopkins University
    • Financial Engineering and Risk Management: Columbia University
    • Calculus through Data & Modeling: Precalculus Review: Johns Hopkins University
    • Graphic Design: University of Colorado Boulder
    • Mathematical Foundations for Cryptography: University of Colorado System
    • Inferential Statistics: Duke University
    • Calculus: Single Variable Part 4 - Applications: University of Pennsylvania
    • Fundamentals of Engineering Exam Review: Georgia Institute of Technology
    • Advanced Statistics for Data Science: Johns Hopkins University
    • Pre-MBA Statistics: IIMA - IIM Ahmedabad

    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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