What jobs can I get with Mathematics skills?

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.

What skills do I need to learn for Mathematics?

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.

What are the best Mathematics courses online?

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.

Can I study Mathematics for free on Coursera?

es. You can start learning mathematics on Coursera for free in two ways: Preview the first module of many mathematics courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available). 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.

What topics are typically covered in Mathematics courses?

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.

What Mathematics courses are best for training and upskilling employees or the workforce?

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.

Top Mathematics Courses - Learn Mathematics Online

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Mathematics

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

Johns Hopkins University
Algebra: Elementary to Advanced
Skills you'll gain: Algebra, Mathematical Modeling, Graphing, Arithmetic, Advanced Mathematics, Applied Mathematics, Deductive Reasoning, Analytical Skills, Probability & Statistics, Geometry
Status: Free Trial
Category: Credit offered
Imperial College London
Mathematics for Machine Learning
Skills you'll gain: Dimensionality Reduction, Linear Algebra, Regression Analysis, NumPy, Calculus, Unsupervised Learning, Applied Mathematics, Statistical Methods, Descriptive Statistics, Model Optimization, Mathematical Software, Jupyter, Statistics, Numerical Analysis, Applied Machine Learning, Geometry, Artificial Neural Networks, Data Science, Data Manipulation, Data Transformation
Status: Free Trial
Category: Credit offered
University of London
Essential Mathematics for Computer Science
Skills you'll gain: Computational Logic, Algorithms, Arithmetic, Applied Mathematics, Advanced Mathematics, Mathematics and Mathematical Modeling, Deductive Reasoning, Mathematical Theory & Analysis, Trigonometry, Geometry, Statistics, General Mathematics, Graphing, Computer Science, Mathematical Modeling, Programming Principles, Business Mathematics, Business Logic, Algebra, Problem Solving
Category: New
Status: Free Trial
Category: Build toward a degree
Johns Hopkins University
Linear Algebra from Elementary to Advanced
Skills you'll gain: Linear Algebra, Algebra, Applied Mathematics, Advanced Mathematics, Artificial Intelligence and Machine Learning (AI/ML), Engineering Analysis, Mathematical Theory & Analysis, Geometry, Applied Machine Learning, Markov Model
Status: Free Trial
Category: Credit offered
Universitat Politècnica de València
Basic Math: Algebra
Skills you'll gain: Linear Algebra, Algebra, Geometry, General Mathematics, Applied Mathematics
Beginner · Course · 1 - 4 Weeks
Category: Preview
Category: Credit offered
Birla Institute of Technology & Science, Pilani
Basic Engineering Mathematics
Skills you'll gain: Integral Calculus, Trigonometry, Engineering Analysis, Linear Algebra, Calculus, Advanced Mathematics, Differential Equations, Mathematical Modeling, Mathematical Theory & Analysis, Applied Mathematics, Engineering, Algebra, Derivatives
Status: Free Trial
Category: Build toward a degree

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Start my career

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Explore topics outside of work

University of North Texas
Math Prep: College & Work Ready
Skills you'll gain: Arithmetic, Graphing, Geometry, Statistics, Algebra, Descriptive Statistics, General Mathematics, Applied Mathematics, Statistical Visualization
Category: Credit offered
The Hong Kong University of Science and Technology
Mathematics for Engineers
Skills you'll gain: Differential Equations, Linear Algebra, Matlab, Engineering Analysis, Numerical Analysis, Integral Calculus, Mathematical Software, Calculus, Engineering Calculations, electromagnetics, Algebra, Applied Mathematics, Mathematical Modeling, Engineering, Advanced Mathematics, Geometry, Computational Thinking, Simulation and Simulation Software, Mechanics, Scripting
Status: Free Trial
Category: Credit offered
University of California San Diego
Introduction to Discrete Mathematics for Computer Science
Skills you'll gain: Graph Theory, Logical Reasoning, Cryptographic Protocols, Combinatorics, Computational Logic, Deductive Reasoning, Graphing, Cryptography, Probability, Key Management, Computational Thinking, Encryption, Probability & Statistics, Programming Principles, Network Analysis, Theoretical Computer Science, Bayesian Statistics, Python Programming, Cybersecurity, Algorithms
Status: Free Trial
Category: Credit offered
Johns Hopkins University
Foundational Mathematics for AI
Skills you'll gain: Descriptive Statistics, Linear Algebra, Exploratory Data Analysis, Data-Driven Decision-Making, Data Analysis, Bayesian Statistics, Artificial Intelligence, Probability, Regression Analysis, Calculus, Mathematical Software, Advanced Mathematics, Applied Mathematics, Probability Distribution, Mathematical Modeling, Model Optimization, Integral Calculus, Algebra, Machine Learning Algorithms, Dimensionality Reduction
Category: Preview
Category: Credit offered
University of Pittsburgh
Mathematical Foundations for Data Science and Analytics
Skills you'll gain: Statistical Analysis, NumPy, Probability Distribution, Matplotlib, Plot (Graphics), Statistics, Data Science, Probability & Statistics, Probability, Statistical Modeling, Predictive Modeling, Data Analysis, Linear Algebra, Predictive Analytics, Statistical Methods, Mathematics and Mathematical Modeling, Applied Mathematics, Python Programming, Machine Learning, Logical Reasoning
Status: Free Trial
Category: Build toward a degree
Imperial College London
Mathematics for Machine Learning: Linear Algebra
Skills you'll gain: Linear Algebra, Applied Mathematics, Jupyter, Data Science, Data Manipulation, Data Transformation, Machine Learning
Status: Free Trial
Category: Credit offered

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

Algebra: Elementary to Advanced: Johns Hopkins University
Mathematics for Machine Learning: Imperial College London
Essential Mathematics for Computer Science: University of London
Linear Algebra from Elementary to Advanced: Johns Hopkins University
Basic Math: Algebra: Universitat Politècnica de València
Basic Engineering Mathematics: Birla Institute of Technology & Science, Pilani
Math Prep: College & Work Ready: University of North Texas
Mathematics for Engineers: The Hong Kong University of Science and Technology
Introduction to Discrete Mathematics for Computer Science: University of California San Diego
Foundational Mathematics for AI: Johns Hopkins 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.‎

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

Preview the first module of many mathematics courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
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.‎

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.