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Mathematics Courses

Mathematics courses cover topics such as algebra, calculus, geometry, statistics, and discrete math. You can learn to solve equations, analyze data, and understand mathematical theories. Tools like graphing calculators and software such as MATLAB or R may also be introduced to help visualize concepts and perform calculations.

Popular Mathematics Courses and Certifications


  • S

    Stanford Online

    Probabilistic Graphical Models

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

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

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

  • S

    Stanford Online

    Game Theory and Mechanism Design: From Strategy to Markets

    Skills you'll gain: Game Theory, Mathematical Modeling, Strategic Thinking, Bidding, Negotiation, Decision Making, Behavioral Economics, Probability, Operations Research, Economics, Bayesian Statistics, Applied Mathematics, Revenue Management, Predictive Modeling, Problem Solving, Algorithms, Theoretical Computer Science, Network Model, Deductive Reasoning, Resource Allocation

    4.6 stars, 5.2K reviews, Advanced, Specialization, 3 - 6 Months

    ★ 4.6 (5.2K) · Advanced · Specialization · 3 - 6 Months

    Category: New
    New
  • U

    University of Amsterdam

    Logic for Economists

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

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

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

  • U

    University of Colorado Boulder

    Trees and Graphs: Basics

    Skills you'll gain: Graph Theory, Data Structures, Algorithms, Analysis, Python Programming

    4.6 stars, 194 reviews, Advanced, Course, 1 - 4 Weeks

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

    Category: Build toward a degree
    Build toward a degree
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  • U

    University of Colorado Boulder

    Parallel Computing with MPI

    Skills you'll gain: File I/O, C++ (Programming Language), C (Programming Language)

    4.4 stars, 18 reviews, Advanced, Course, 1 - 3 Months

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

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  • J

    Johns Hopkins University

    Advanced Linear Models for Data Science 2: Statistical Linear Models

    Skills you'll gain: Regression Analysis, Linear Algebra, R Programming, Probability Distribution, Statistical Modeling, Statistical Analysis, Statistics

    4.6 stars, 109 reviews, Advanced, Course, 1 - 4 Weeks

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

  • N

    National Taiwan University

    Operations Research (3): Theory

    Skills you'll gain: Operations Research, Network Model, Case Studies, Applied Mathematics, Mathematical Modeling, Machine Learning, Model Optimization, Mathematical Theory & Analysis, Business Analytics

    4.9 stars, 97 reviews, Advanced, Course, 1 - 3 Months

    ★ 4.9 (97) · Advanced · Course · 1 - 3 Months

  • S

    Stanford Online

    Probabilistic Graphical Models 2: Inference

    Skills you'll gain: Bayesian Network, Statistical Inference, Sampling (Statistics), Probability & Statistics, Algorithms, Probability Distribution

    4.6 stars, 491 reviews, Advanced, Course, 1 - 3 Months

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

  • P

    Princeton University

    Analysis of Algorithms

    Skills you'll gain: Combinatorics, Algorithms, Mathematical Theory & Analysis, Data Structures, Mathematical Modeling, Calculus

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

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

    Category: Free
    Free
  • 2

    28DIGITAL

    I/O-efficient algorithms

    Skills you'll gain: Data Structures, Algorithms, Memory Management, Graph Theory, Data Access

    4.6 stars, 60 reviews, Advanced, Course, 1 - 3 Months

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

  • G

    Google

    The Power of Statistics

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

    4.8 stars, 921 reviews, Advanced, Course, 1 - 3 Months

    ★ 4.8 (921) · Advanced · Course · 1 - 3 Months

12

How to choose the right Mathematics course

Start with what you want to study in mathematics. If you're focused on pure mathematics, look for courses covering abstract algebra, topology, or number theory. If you want to apply mathematics to real-world problems, choose courses that focus on statistics, calculus applications, or mathematical modeling. Compare the course content to see which aligns with your interests.


Best free Mathematics courses

High-quality free Mathematics courses you can start today.

  1. 1
    Logic for Economists
    University of AmsterdamAdvanced1 - 3 Months4.3(300)Free
  2. 2
    Analysis of Algorithms
    Princeton UniversityAdvanced1 - 3 Months4.4(1,061)Free
  3. 3
    I/O-efficient algorithms
    28DIGITALAdvanced1 - 3 Months4.6(60)Free

Best Mathematics courses from Stanford Online

Top-rated Mathematics courses offered by Stanford Online on Coursera.

  1. 1
    Probabilistic Graphical Models
    Stanford OnlineAdvanced3 - 6 Months4.6(1,552)Stanford Online
  2. 2
    Game Theory and Mechanism Design: From Strategy to Markets
    Stanford OnlineAdvanced3 - 6 Months4.6(5,179)Stanford Online
  3. 3
    Probabilistic Graphical Models 2: Inference
    Stanford OnlineAdvanced1 - 3 Months4.6(491)Stanford Online

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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