What are the best mathematics courses on Coursera?

Top courses include Introduction to Mathematical Thinking from Stanford University , Mathematics for Machine Learning and Data Science from DeepLearning.AI , and Introduction to Discrete Mathematics for Computer Science from UC San Diego . These programs cover topics from basic algebra to calculus , linear algebra , and applications in data science .

Can I learn mathematics for free on Coursera?

Yes. Many mathematics courses offer a free audit option, allowing learners to access video lessons and reading materials at no cost. To complete assignments or earn a certificate, you’ll need to upgrade or apply for financial aid.

What will I learn in a mathematics course on Coursera?

You’ll learn core topics like algebra , calculus , probability , and discrete mathematics. Some courses also cover applied topics like statistics , mathematical modeling, and math for engineering or computer science.

Do I need a strong math background to start learning?

Not at all. Many Coursera courses are beginner-friendly and start with foundational concepts, making them great for learners who want to build skills step by step. Advanced learners can find specialized courses on topics like differential equations, linear algebra, or mathematical proofs.

Can learning mathematics on Coursera help me in my career or studies?

Yes. Mathematics is essential in many fields, including engineering , economics , data science , and computer programming . Coursera courses can help you build skills that support academic success, strengthen job readiness, and open doors to careers in STEM and analytical roles.

Top Mathematics Courses - Learn Mathematics Online

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Find the Best Mathematics Course for Your Goals

Stanford University
Introduction to Logic
Skills you'll gain: Logical Reasoning, Computational Logic, Deductive Reasoning, Computational Thinking, Business Logic, Functional Design, Programming Principles
4.4
Rating, 4.4 out of 5 stars
647 reviews
Intermediate · Course · 1 - 3 Months
Status: New
Johns Hopkins University
Foundational Mathematics for AI
Skills you'll gain: Descriptive Statistics, Linear Algebra, Exploratory Data Analysis, Data-Driven Decision-Making, Bayesian Statistics, Statistics, Artificial Intelligence and Machine Learning (AI/ML), Probability, Regression Analysis, Calculus, Statistical Analysis, Advanced Mathematics, Applied Mathematics, Probability Distribution, Mathematical Modeling, Integral Calculus, Algebra, Machine Learning Algorithms, Dimensionality Reduction, Correlation Analysis
Beginner · Course · 1 - 3 Months
Status: Free Trial
Johns Hopkins University
Algebra: Elementary to Advanced - Equations & Inequalities
Skills you'll gain: Algebra, Arithmetic, Mathematical Modeling, Applied Mathematics, Graphing, Probability & Statistics
4.8
Rating, 4.8 out of 5 stars
587 reviews
Beginner · Course · 1 - 3 Months
The University of Sydney
Introduction to Linear Algebra
Skills you'll gain: Linear Algebra, Markov Model, Geometry, Arithmetic, Algebra, General Mathematics, Advanced Mathematics, Probability, Mathematics and Mathematical Modeling, Mathematical Theory & Analysis, Mathematical Modeling, Applied Mathematics, Statistical Methods, Engineering Analysis
4.9
Rating, 4.9 out of 5 stars
30 reviews
Intermediate · Course · 1 - 4 Weeks
Duke University
Data Science Math Skills
Skills you'll gain: Probability, Bayesian Statistics, General Mathematics, Calculus, Graphing, Statistics, Data Science, Data Analysis, Plot (Graphics), Algebra, Geometry, Arithmetic, Derivatives
4.5
Rating, 4.5 out of 5 stars
13K reviews
Beginner · Course · 1 - 3 Months
University of Amsterdam
Logic for Economists
Skills you'll gain: Computational Logic, Logical Reasoning, Mathematics and Mathematical Modeling, Deductive Reasoning, General Mathematics
4.4
Rating, 4.4 out of 5 stars
293 reviews
Advanced · Course · 1 - 3 Months
Status: Free Trial
Imperial College London
Mathematics for Machine Learning: Linear Algebra
Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Data Transformation, Data Science, Jupyter, Machine Learning Methods, Algorithms, Data Manipulation, Python Programming
4.7
Rating, 4.7 out of 5 stars
12K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
University of London
Mathematics for Computer Science
Skills you'll gain: Graphing, Computational Thinking, Arithmetic, Applied Mathematics, Mathematical Modeling, General Mathematics, Computer Science, Computer Graphics, Systems Of Measurement, Cryptography
4.1
Rating, 4.1 out of 5 stars
238 reviews
Beginner · Course · 1 - 3 Months
Korea Advanced Institute of Science and Technology(KAIST)
Differential Equations Part I Basic Theory
Skills you'll gain: Differential Equations, Mathematical Modeling, Applied Mathematics, Calculus, Linear Algebra, Vibrations, Mechanics
4.7
Rating, 4.7 out of 5 stars
1.4K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
DeepLearning.AI
Linear Algebra for Machine Learning and Data Science
Skills you'll gain: Linear Algebra, NumPy, Dimensionality Reduction, Machine Learning Methods, Jupyter, Data Manipulation, Data Science, Applied Mathematics, Python Programming, Image Analysis, Artificial Intelligence
4.6
Rating, 4.6 out of 5 stars
2K reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free
University of Pennsylvania
Calculus: Single Variable Part 1 - Functions
Skills you'll gain: Calculus, Engineering Calculations, Mathematical Theory & Analysis, Algebra, Advanced Mathematics, Applied Mathematics, Derivatives
4.7
Rating, 4.7 out of 5 stars
2.3K reviews
Mixed · Course · 1 - 4 Weeks
The Hong Kong University of Science and Technology
Fibonacci Numbers and the Golden Ratio
Skills you'll gain: Arithmetic, Geometry, Mathematical Theory & Analysis, Advanced Mathematics, Combinatorics, Algebra, Mathematical Modeling, Applied Mathematics
4.8
Rating, 4.8 out of 5 stars
1.2K reviews
Beginner · Course · 1 - 4 Weeks

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

Introduction to Logic: Stanford University
Foundational Mathematics for AI: Johns Hopkins University
Algebra: Elementary to Advanced - Equations & Inequalities: Johns Hopkins University
Introduction to Linear Algebra: The University of Sydney
Data Science Math Skills: Duke University
Logic for Economists: University of Amsterdam
Mathematics for Machine Learning: Linear Algebra: Imperial College London
Mathematics for Computer Science: University of London
Differential Equations Part I Basic Theory: Korea Advanced Institute of Science and Technology(KAIST)
Linear Algebra for Machine Learning and Data Science: DeepLearning.AI

Mathematics Courses