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Mathematics Courses

Mathematics courses can help you learn algebra, calculus, statistics, and discrete mathematics. You can build skills in problem-solving, logical reasoning, and data analysis, that support interpreting complex information. Many courses introduce tools like graphing calculators, statistical software, and programming languages such as Python, showing how these skills apply in fields like finance, engineering, and data science.

Popular Mathematics Courses and Certifications


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  • 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, Probability Distribution, R Programming, Biostatistics, Data Analysis, Data Science, Statistics, Mathematical Modeling, Data Modeling, Applied Mathematics

    4.4 stars, 800 reviews, Advanced, Specialization, 3 - 6 Months

    ★ 4.4 (800) · Advanced · Specialization · 3 - 6 Months

    Status: Free trial
    Free trial
  • 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, Applied Mathematics, Calculus

    4.4 stars, 1.1K reviews, Advanced, Course, 1 - 3 Months

    ★ 4.4 (1.1K) · Advanced · Course · 1 - 3 Months

    Category: Free
    Free
  • U

    University of Colorado Boulder

    Advanced Data Structures, RSA and Quantum Algorithms

    Skills you'll gain: Quantum computing, Public Key Cryptography Standards (PKCS), Cryptography, Data Structures, Cryptographic Protocols, Algorithms, Encryption, Theoretical Computer Science, Computer Science, Programming Principles, Mathematical Software, Advanced Mathematics

    4.6 stars, 69 reviews, Advanced, Course, 1 - 4 Weeks

    ★ 4.6 (69) · Advanced · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
    Category: Build toward a degree
    Build toward a degree
  • S

    Stanford Online

    Probabilistic Graphical Models

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Decision Intelligence, Bayesian Statistics, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Machine Learning Methods, Markov Model, Machine Learning, Unsupervised Learning, Probability & Statistics, Network Analysis, Statistical Inference, Model Training, Statistical Machine Learning, Model Optimization, Sampling (Statistics)

    4.6 stars, 1.6K reviews, Advanced, Specialization, 3 - 6 Months

    ★ 4.6 (1.6K) · Advanced · Specialization · 3 - 6 Months

    Status: Free trial
    Free trial
  • U

    University of Amsterdam

    Logic for Economists

    Skills you'll gain: Computational Logic, Logical Reasoning, Deductive Reasoning, General Mathematics, Theoretical Computer Science

    4.4 stars, 300 reviews, Advanced, Course, 1 - 3 Months

    ★ 4.4 (300) · Advanced · Course · 1 - 3 Months

    Category: Preview
    Preview

What brings you to Coursera today?

  • U

    University of Colorado Boulder

    Spacecraft Formation Relative Orbits

    Skills you'll gain: Control Systems, Simulation and Simulation Software, Mechanics, Numerical Analysis, Differential Equations, Mathematical Modeling, Engineering Analysis, Simulations, Engineering Calculations, Advanced Mathematics, Linear Algebra, Engineering Design Process, Torque (Physics), Trigonometry, Program Development, Applied Mathematics, Physics, Calculus, Mathematical Theory & Analysis

    4.6 stars, 12 reviews, Advanced, Specialization, 1 - 3 Months

    ★ 4.6 (12) · Advanced · Specialization · 1 - 3 Months

    Status: Free trial
    Free trial
  • U

    University of Colorado Boulder

    Trees and Graphs: Basics

    Skills you'll gain: Graph Theory, Data Structures, Algorithms, Tree Maps, Theoretical Computer Science, Analysis, Python Programming

    4.6 stars, 192 reviews, Advanced, Course, 1 - 4 Weeks

    ★ 4.6 (192) · Advanced · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
    Category: Build toward a degree
    Build toward a degree
  • U

    University of Colorado Boulder

    Dynamic Programming, Greedy Algorithms

    Skills you'll gain: Theoretical Computer Science, Algorithms, Computational Thinking, Data Structures, Design Strategies, Quantum computing, Applied Mathematics, Python Programming, Analysis

    4.7 stars, 277 reviews, Advanced, Course, 1 - 4 Weeks

    ★ 4.7 (277) · Advanced · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
    Category: Build toward a degree
    Build toward a degree
  • É

    École Polytechnique Fédérale de Lausanne

    Interest Rate Models

    Skills you'll gain: Portfolio Risk, Derivatives, Financial Market, Risk Modeling, Securities (Finance), Futures Exchange, Risk Management, Investments, Financial Modeling, Market Data, Portfolio Management, Mathematical Modeling, Finance, Probability, Statistical Modeling, Estimation, Applied Mathematics

    4.5 stars, 198 reviews, Advanced, Course, 1 - 3 Months

    ★ 4.5 (198) · Advanced · Course · 1 - 3 Months

    Category: Preview
    Preview
  • S

    Stanford Online

    Game Theory II: Advanced Applications

    Skills you'll gain: Game Theory, Bidding, Social Sciences, Resource Allocation, Economics, Social Impact, Behavioral Economics, Decision Making, Mathematical Theory & Analysis

    4.7 stars, 652 reviews, Advanced, Course, 1 - 3 Months

    ★ 4.7 (652) · Advanced · Course · 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, Data Science, Probability Distribution, Statistical Modeling, Statistical Methods, Probability & Statistics, Applied Mathematics, Statistical Analysis, Statistics, Statistical Inference, Probability, Model Evaluation, Integral Calculus

    4.6 stars, 108 reviews, Advanced, Course, 1 - 4 Weeks

    ★ 4.6 (108) · Advanced · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • U

    University of Colorado Boulder

    Parallel Computing with MPI

    Skills you'll gain: File I/O, C and C++, Data Import/Export, C++ (Programming Language), Communication Systems, C (Programming Language)

    4.6 stars, 14 reviews, Advanced, Course, 1 - 3 Months

    ★ 4.6 (14) · Advanced · Course · 1 - 3 Months

    Status: Free trial
    Free trial

What brings you to Coursera today?

12345

Best free Mathematics courses

High-quality free Mathematics courses you can start today.

  1. 1
    Analysis of Algorithms
    Princeton UniversityAdvanced1 - 3 Months4.4(1,060)Free
  2. 2
    Logic for Economists
    University of AmsterdamAdvanced1 - 3 Months4.3(300)Free
  3. 3
    Interest Rate Models
    École Polytechnique Fédérale de LausanneAdvanced1 - 3 Months4.5(198)Free

Best Mathematics courses from University of Colorado Boulder

Top-rated Mathematics courses offered by University of Colorado Boulder on Coursera.

  1. 1
    Advanced Data Structures, RSA and Quantum Algorithms
    University of Colorado BoulderAdvanced1 - 4 Weeks4.6(69)University of Colorado Boulder
  2. 2
    Spacecraft Formation Relative Orbits
    University of Colorado BoulderAdvanced1 - 3 Months4.6(12)University of Colorado Boulder
  3. 3
    Trees and Graphs: Basics
    University of Colorado BoulderAdvanced1 - 4 Weeks4.6(192)University of Colorado Boulder

Best Mathematics certificate programs

Earn a certificate in Mathematics from top universities and companies.

  1. 1
    Advanced Statistics for Data Science
    Johns Hopkins UniversityAdvanced3 - 6 Months4.4(800)Specialization
  2. 2
    Probabilistic Graphical Models
    Stanford OnlineAdvanced3 - 6 Months4.6(1,552)Specialization

Frequently Asked Questions about Mathematics

Mathematics is the study of numbers, shapes, patterns, and relationships. It serves as a foundational tool for understanding the world around us and is crucial in various fields, including science, engineering, economics, and technology. The importance of mathematics lies in its ability to provide logical reasoning and problem-solving skills, which are essential for making informed decisions and innovations.‎

A background in mathematics opens doors to a variety of career paths. Potential job roles include data analyst, statistician, actuary, financial analyst, and operations researcher. Additionally, mathematics is integral in fields such as engineering, computer science, and academia, where analytical skills are highly valued.‎

To succeed in mathematics, you should develop a strong foundation in basic arithmetic, algebra, geometry, and calculus. Critical thinking and problem-solving skills are also essential. Familiarity with mathematical software and programming languages can enhance your capabilities, especially in data analysis and engineering contexts.‎

Some of the best online mathematics courses include the Mathematics for Engineering Specialization and the Mathematics for Machine Learning and Data Science Specialization. These courses cover essential concepts and applications, making them suitable for various learners.‎

es. You can start learning mathematics on Coursera for free in two ways:

  1. Preview the first module of many mathematics courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
  2. Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

If you want to keep learning, earn a certificate in mathematics, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

Mathematics courses typically cover a range of topics, including algebra, calculus, statistics, linear algebra, and discrete mathematics. Advanced courses may explore specialized areas such as mathematical modeling, optimization, and numerical methods.‎

For training and upskilling employees, courses like the Mathematics for Engineers Specialization and the Foundational Mathematics for AI are excellent choices. These programs equip learners with the mathematical skills necessary for engineering and data science roles.‎

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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