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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


  • 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 Science, Statistics, Mathematical Modeling, Data Analysis, Data Modeling, Applied Mathematics

    4.4
    Rating, 4.4 out of 5 stars
    ·
    790 reviews

    Advanced · Specialization · 3 - 6 Months

  • U

    University of Amsterdam

    Logic for Economists

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

    4.4
    Rating, 4.4 out of 5 stars
    ·
    300 reviews

    Advanced · Course · 1 - 3 Months

  • S

    Stanford University

    Probabilistic Graphical Models

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Bayesian Statistics, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Machine Learning Methods, Statistical Inference, Sampling (Statistics), Statistical Methods, Algorithms, Model Evaluation, Computational Thinking

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.5K reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Job Ready
    Job Ready
    G

    Google

    Google Advanced Data Analytics

    Skills you'll gain: Data Storytelling, Data Visualization, A/B Testing, Sampling (Statistics), Data Analysis, Exploratory Data Analysis, Regression Analysis, Data Visualization Software, Data Presentation, Data Ethics, Feature Engineering, Statistical Hypothesis Testing, Statistics, Statistical Analysis, Data Science, Tableau Software, Machine Learning, Object Oriented Programming (OOP), Interviewing Skills, Python Programming

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    11K reviews

    Advanced · Professional Certificate · 3 - 6 Months

  • G

    Google

    The Power of Statistics

    Skills you'll gain: A/B Testing, Sampling (Statistics), Data Analysis, Statistics, Descriptive Statistics, Statistical Analysis, Statistical Hypothesis Testing, Advanced Analytics, Probability Distribution, Data Science, Statistical Inference, Probability, Jupyter, Python Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    878 reviews

    Advanced · Course · 1 - 3 Months

  • U

    University of Colorado Boulder

    Spacecraft Formation Relative Orbits

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

    4.9
    Rating, 4.9 out of 5 stars
    ·
    11 reviews

    Advanced · Specialization · 1 - 3 Months

What brings you to Coursera today?

  • C

    Columbia University

    Causal Inference

    Skills you'll gain: Statistical Inference, Regression Analysis, Statistical Methods, Sampling (Statistics), Machine Learning, Statistical Modeling, Experimentation, Data Collection, Probability & Statistics, Research Design, Econometrics, Program Evaluation, Logistic Regression

    3.3
    Rating, 3.3 out of 5 stars
    ·
    104 reviews

    Advanced · Course · 1 - 3 Months

  • S

    Stanford University

    Probabilistic Graphical Models 2: Inference

    Skills you'll gain: Bayesian Network, Machine Learning Methods, Statistical Inference, Markov Model, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Probability Distribution, Machine Learning Algorithms, Computational Thinking

    4.6
    Rating, 4.6 out of 5 stars
    ·
    489 reviews

    Advanced · Course · 1 - 3 Months

  • U

    University of Colorado Boulder

    Dynamic Programming, Greedy Algorithms

    Skills you'll gain: Theoretical Computer Science, Algorithms, Computational Thinking, Pseudocode, Data Structures, Design Strategies, Programming Principles, Computer Science, Advanced Mathematics, Python Programming, Analysis

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    248 reviews

    Advanced · Course · 1 - 4 Weeks

  • 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, Calculus

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1K reviews

    Advanced · Course · 1 - 3 Months

  • U

    University of Colorado Boulder

    Advanced Data Structures, RSA and Quantum Algorithms

    Skills you'll gain: Public Key Cryptography Standards (PKCS), Cryptography, Data Structures, Algorithms, Encryption, Theoretical Computer Science, Computer Science, Programming Principles, Computational Thinking, IBM Cloud, Advanced Mathematics

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    59 reviews

    Advanced · Course · 1 - 4 Weeks

  • U

    University of Colorado Boulder

    Light Emitting Diodes and Semiconductor Lasers

    Skills you'll gain: Semiconductors, Electrical Engineering, Electronics, Display Devices, Electronic Components, Materials science, Engineering Calculations, Mathematical Modeling, Physics, Applied Mathematics

    Build toward a degree

    3.7
    Rating, 3.7 out of 5 stars
    ·
    51 reviews

    Advanced · Course · 1 - 3 Months

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

  • Advanced Statistics for Data Science: Johns Hopkins University
  • Logic for Economists: University of Amsterdam
  • Probabilistic Graphical Models: Stanford University
  • Google Advanced Data Analytics: Google
  • The Power of Statistics: Google
  • Spacecraft Formation Relative Orbits: University of Colorado Boulder
  • Causal Inference: Columbia University
  • Probabilistic Graphical Models 2: Inference: Stanford University
  • Dynamic Programming, Greedy Algorithms: University of Colorado Boulder
  • Analysis of Algorithms: Princeton University

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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