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.

Skills you'll gain: Education Software and Technology, Mathematics Education
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Excel Formulas, Spreadsheet Software, Microsoft Excel, Microsoft Office, Microsoft 365, Data Analysis, Business Mathematics
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Mathematics Education, Education Software and Technology, User Accounts
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Microsoft Office, Mathematics Education, Education Software and Technology, Arithmetic
Beginner · Guided Project · Less Than 2 Hours

Coursera
Skills you'll gain: Financial Analysis, Financial Market, Investment Management, Investments, Finance
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Excel Macros, Microsoft Excel, Excel Formulas, Spreadsheet Software, Data Entry, Data Analysis Expressions (DAX), Business Mathematics
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Google Sheets, Data Visualization, Spreadsheet Software, Data Presentation, Data Analysis, Data Visualization Software, Business Analytics, Productivity Software, Business Analysis, Data Manipulation, Descriptive Statistics, Analysis, Statistics, Excel Formulas, Data Cleansing, Mathematical Software
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Game Design, Program Development, Python Programming, Computer Programming, Scripting, Scripting Languages, Data Analysis
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Microsoft Excel, Excel Formulas, Spreadsheet Software, Data Analysis Software, Data Analysis, Customer Analysis, Analysis, Analytical Skills, Gross Profit, Productivity Software, Business Mathematics
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Sampling (Statistics), Statistical Methods, Descriptive Statistics, Statistical Visualization, Data Import/Export, Pareto Chart, Histogram, Statistical Analysis, R (Software), Box Plots, R Programming, Data Synthesis, Probability Distribution, Probability & Statistics, Exploratory Data Analysis, Statistics, Statistical Hypothesis Testing, Data Science
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Program Development, Python Programming, Jupyter, Algorithms, Engineering Calculations, Computer Programming, Mathematical Modeling, Linear Algebra, Applied Mathematics
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Dashboard, Data Visualization, Microsoft Excel, Spreadsheet Software, Data Analysis, Business Reporting, Business Mathematics
Beginner · Guided Project · Less Than 2 Hours
Browse the mathematics courses below—popular starting points on Coursera.
Yes. 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.
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.
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.
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.