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.

Johns Hopkins University
Skills you'll gain: Algebra, Mathematical Modeling, Graphing, Advanced Mathematics, Applied Mathematics, Deductive Reasoning, Analytical Skills, Arithmetic, Probability & Statistics, Geometry
★ 4.8 (823) · Beginner · Specialization · 3 - 6 Months

Imperial College London
Skills you'll gain: Dimensionality Reduction, Linear Algebra, Regression Analysis, NumPy, Calculus, Applied Mathematics, Descriptive Statistics, Model Optimization, Statistics, Geometry, Artificial Neural Networks, Data Science, Data Manipulation, Python Programming, Data Transformation, Machine Learning, Derivatives
★ 4.6 (15K) · Beginner · Specialization · 3 - 6 Months
Stanford Online
Skills you'll gain: Mathematical Theory & Analysis, Logical Reasoning, Deductive Reasoning, Critical Thinking, Calculus
★ 4.8 (3K) · Intermediate · Course · 1 - 3 Months

The Hong Kong University of Science and Technology
Skills you'll gain: Differential Equations, Linear Algebra, Matlab, Numerical Analysis, Integral Calculus, Mathematical Software, Calculus, electromagnetics, Algebra, Applied Mathematics, Simulation and Simulation Software, Geometry, Computational Thinking, Mechanics, Scripting, Simulations, Physics, Plot (Graphics), Algorithms, Derivatives
★ 4.8 (7.9K) · Beginner · Specialization · 3 - 6 Months

DeepLearning.AI
Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Statistical Methods, Probability Distribution, Linear Algebra, Statistical Inference, Statistics, A/B Testing, Statistical Analysis, Applied Mathematics, Probability, Calculus, Dimensionality Reduction, Exploratory Data Analysis, Machine Learning, Python Programming, Artificial Neural Networks
★ 4.6 (3.3K) · Intermediate · Specialization · 1 - 3 Months

Case Western Reserve University
Skills you'll gain: Deductive Reasoning, Logical Reasoning, Mathematics and Mathematical Modeling, Mathematical Theory & Analysis, Advanced Mathematics, General Mathematics, Algebra, Applied Mathematics
Intermediate · Course · 3 - 6 Months

University of London
Skills you'll gain: Computational Logic, Algorithms, Arithmetic, Applied Mathematics, Advanced Mathematics, Mathematics and Mathematical Modeling, Deductive Reasoning, Mathematical Theory & Analysis, Trigonometry, Statistics, General Mathematics, Graphing, Computer Science, Statistical Analysis, Mathematical Modeling, Programming Principles, Business Mathematics, Business Logic, Algebra, Problem Solving
★ 4 (16) · Beginner · Specialization · 3 - 6 Months

Johns Hopkins University
Skills you'll gain: Linear Algebra, Applied Mathematics, Algebra, Artificial Intelligence and Machine Learning (AI/ML), Geometry, Markov Model
★ 4.7 (244) · Beginner · Specialization · 3 - 6 Months

Birla Institute of Technology & Science, Pilani
Skills you'll gain: Engineering Calculations, Integral Calculus, Trigonometry, Engineering Analysis, Linear Algebra, Calculus, Differential Equations, Mathematical Modeling, Applied Mathematics, Algebra, Derivatives
★ 4.5 (190) · Beginner · Course · 1 - 3 Months

University of North Texas
Skills you'll gain: Arithmetic, Graphing, Geometry, Statistics, Algebra, Descriptive Statistics, General Mathematics, Applied Mathematics, Statistical Visualization
★ 4.5 (328) · Beginner · Course · 1 - 4 Weeks

University of California San Diego
Skills you'll gain: Graph Theory, Logical Reasoning, Cryptographic Protocols, Combinatorics, Deductive Reasoning, Cryptography, Probability, Key Management, Encryption, Algorithms, Theoretical Computer Science, Python Programming, Arithmetic, Computer Programming, Mathematical Modeling, Programming Principles, Statistics, Program Development
★ 4.5 (3.7K) · Beginner · Specialization · 3 - 6 Months

Universitat Politècnica de València
Skills you'll gain: Linear Algebra, Algebra, Geometry, General Mathematics, Applied Mathematics
Beginner · Course · 1 - 4 Weeks
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.
High-quality free Mathematics courses you can start today.
Top-rated Mathematics courses offered by Johns Hopkins University on Coursera.
Earn a certificate in Mathematics from top universities and companies.
Top-rated beginner-friendly Mathematics courses with no prerequisites.
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:
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.