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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)

      Electrodynamics: An Introduction

      Skills you'll gain: Electrical Engineering, Basic Electrical Systems, Physics, Integral Calculus, Calculus, Applied Mathematics, Differential Equations, Scientific Visualization

      4.7
      Rating, 4.7 out of 5 stars
      ·
      624 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      T

      The Hong Kong University of Science and Technology

      Understanding Modern Physics I: Relativity and Cosmology

      Skills you'll gain: Physics, Calculus, Mechanics, Physical Science, Advanced Mathematics, Energy and Utilities, Mathematical Modeling

      4.6
      Rating, 4.6 out of 5 stars
      ·
      154 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Colorado System

      Introduction to Applied Cryptography

      Skills you'll gain: Data Encryption Standard, Public Key Infrastructure, Cryptography, Cybersecurity, Public Key Cryptography Standards (PKCS), Key Management, Advanced Encryption Standard (AES), Encryption, Authentications, Arithmetic, Algorithms, Applied Mathematics, Data Integrity, Probability, Computer Science

      4.6
      Rating, 4.6 out of 5 stars
      ·
      986 reviews

      Beginner · Specialization · 3 - 6 Months

    • J

      Johns Hopkins University

      Calculus through Data & Modelling: Vector Calculus

      Skills you'll gain: Integral Calculus, Calculus, Linear Algebra, Mathematical Theory & Analysis, Advanced Mathematics, Visualization (Computer Graphics), Applied Mathematics, Graphing, Mathematical Modeling, Spatial Data Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      43 reviews

      Intermediate · Course · 1 - 4 Weeks

    • R

      Rice University

      Physics 101 - Forces and Kinematics

      Skills you'll gain: Mechanics, Physics, Engineering Calculations, Mathematical Modeling, Algebra, Calculus, Physical Science, Applied Mathematics, Trigonometry

      4.7
      Rating, 4.7 out of 5 stars
      ·
      175 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Illinois Urbana-Champaign

      Exploring and Producing Data for Business Decision Making

      Skills you'll gain: Descriptive Statistics, Sampling (Statistics), Probability Distribution, Business Analytics, Statistics, Microsoft Excel, Analytics, Statistical Inference, Data Analysis, Exploratory Data Analysis, Probability & Statistics, Statistical Analysis, Histogram, Data Collection, Data Presentation, Graphing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Minnesota

      Analytics for Decision Making

      Skills you'll gain: Time Series Analysis and Forecasting, Simulations, Operations Research, Probability Distribution, Mathematical Modeling, Supply Chain, Probability, Predictive Modeling, Business Modeling, Business Analytics, Analytics, Regression Analysis, Microsoft Excel, Forecasting, Data Modeling, Process Optimization, Data-Driven Decision-Making, Statistics, Business Mathematics, Manufacturing Operations

      4.7
      Rating, 4.7 out of 5 stars
      ·
      259 reviews

      Beginner · Specialization · 3 - 6 Months

    • I

      Imperial College London

      Developing the SIR Model

      Skills you'll gain: Epidemiology, Infectious Diseases, Mathematical Modeling, Public Health, R Programming, Differential Equations

      4.8
      Rating, 4.8 out of 5 stars
      ·
      271 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      G

      Georgia Institute of Technology

      Advanced Engineering Systems in Motion: Dynamics of Three Dimensional (3D) Motion

      Skills you'll gain: Mechanics, Torque (Physics), Mechanical Engineering, Engineering Analysis, Differential Equations, Engineering, Linear Algebra, Applied Mathematics, Physics, Trigonometry, Advanced Mathematics, Calculus

      4.8
      Rating, 4.8 out of 5 stars
      ·
      310 reviews

      Mixed · Course · 1 - 3 Months

    • U

      University of Maryland, College Park

      Framework for Data Collection and Analysis

      Skills you'll gain: Surveys, Research Methodologies, Data Collection, Research Design, Data Quality, Data Analysis, Data Validation, Sampling (Statistics), Big Data, Statistical Methods

      4.2
      Rating, 4.2 out of 5 stars
      ·
      763 reviews

      Intermediate · Course · 1 - 4 Weeks

    • 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

    • 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

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    1…192021…51

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

    • Electrodynamics: An Introduction: Korea Advanced Institute of Science and Technology(KAIST)
    • Understanding Modern Physics I: Relativity and Cosmology: The Hong Kong University of Science and Technology
    • Introduction to Applied Cryptography: University of Colorado System
    • Calculus through Data & Modelling: Vector Calculus: Johns Hopkins University
    • Physics 101 - Forces and Kinematics : Rice University
    • Exploring and Producing Data for Business Decision Making: University of Illinois Urbana-Champaign
    • Analytics for Decision Making: University of Minnesota
    • Developing the SIR Model: Imperial College London
    • Advanced Engineering Systems in Motion: Dynamics of Three Dimensional (3D) Motion: Georgia Institute of Technology
    • Framework for Data Collection and Analysis: University of Maryland, College Park

    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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