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.

More to explore:

Popular Mathematics Courses and Certifications

Status: Free Trial
Johns Hopkins University
Advanced Statistics for Data Science
Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Regression Analysis, Bayesian Statistics, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistical Methods, Statistical Modeling, Linear Algebra, Probability, Probability Distribution, R Programming, Biostatistics, Data Science, Statistics, Mathematical Modeling, Data Analysis, Data Modeling, Applied Mathematics
4.4
Rating, 4.4 out of 5 stars
787 reviews
Advanced · Specialization · 3 - 6 Months
Status: Preview
University of Amsterdam
Logic for Economists
Skills you'll gain: Computational Logic, Logical Reasoning, Deductive Reasoning, General Mathematics
4.4
Rating, 4.4 out of 5 stars
300 reviews
Advanced · Course · 1 - 3 Months
Status: Free Trial
Stanford University
Probabilistic Graphical Models
Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Bayesian Statistics, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Machine Learning Methods, Statistical Inference, Sampling (Statistics), Statistical Methods, Algorithms, Model Evaluation, Computational Thinking
4.6
Rating, 4.6 out of 5 stars
1.5K reviews
Advanced · Specialization · 3 - 6 Months
Status: Free Trial
Google
The Power of Statistics
Skills you'll gain: Sampling (Statistics), Statistical Hypothesis Testing, Descriptive Statistics, Advanced Analytics, Data Analysis, Probability Distribution, Statistics, Probability, A/B Testing, Statistical Analysis, Data Science, Statistical Inference, Statistical Programming, Jupyter, Python Programming, Technical Communication
4.8
Rating, 4.8 out of 5 stars
873 reviews
Advanced · Course · 1 - 3 Months
Status: Free Trial
University of Colorado Boulder
Spacecraft Formation Relative Orbits
Skills you'll gain: Control Systems, Systems Engineering, Mechanics, Numerical Analysis, Differential Equations, Mathematical Modeling, Simulation and Simulation Software, Engineering Analysis, Simulations, Engineering Calculations, Geometry, Linear Algebra, Engineering Design Process, Torque (Physics), Applied Mathematics, Physics, Calculus
4.9
Rating, 4.9 out of 5 stars
11 reviews
Advanced · Specialization · 1 - 3 Months
Status: Free
Princeton University
Analysis of Algorithms
Skills you'll gain: Combinatorics, Algorithms, Theoretical Computer Science, Mathematical Theory & Analysis, Data Structures, Advanced Mathematics, Mathematical Modeling, Probability, Calculus
4.4
Rating, 4.4 out of 5 stars
1K reviews
Advanced · Course · 1 - 3 Months

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Status: Free Trial
Stanford University
Probabilistic Graphical Models 2: Inference
Skills you'll gain: Bayesian Network, Machine Learning Methods, Statistical Inference, Markov Model, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Probability Distribution, Machine Learning Algorithms, Computational Thinking
4.6
Rating, 4.6 out of 5 stars
489 reviews
Advanced · Course · 1 - 3 Months
The Google AI Certificate that powers your career
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Status: Free Trial
University of Colorado Boulder
Dynamic Programming, Greedy Algorithms
Skills you'll gain: Theoretical Computer Science, Algorithms, Computational Thinking, Pseudocode, Data Structures, Design Strategies, Programming Principles, Computer Science, Advanced Mathematics, Python Programming, Analysis
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
242 reviews
Advanced · Course · 1 - 4 Weeks
Status: Free Trial
University of Colorado Boulder
Advanced Data Structures, RSA and Quantum Algorithms
Skills you'll gain: Public Key Cryptography Standards (PKCS), Cryptography, Data Structures, Algorithms, Encryption, Theoretical Computer Science, Computer Science, Programming Principles, Computational Thinking, IBM Cloud, Advanced Mathematics
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
58 reviews
Advanced · Course · 1 - 4 Weeks
Status: Free Trial
University of Colorado Boulder
Light Emitting Diodes and Semiconductor Lasers
Skills you'll gain: Semiconductors, Electrical Engineering, Electronics, Display Devices, Electronic Components, Materials science, Engineering Calculations, Mathematical Modeling, Physics, Applied Mathematics
Build toward a degree
3.7
Rating, 3.7 out of 5 stars
50 reviews
Advanced · Course · 1 - 3 Months
Status: Preview
Columbia University
Causal Inference
Skills you'll gain: Statistical Inference, Regression Analysis, Statistical Methods, Sampling (Statistics), Statistical Modeling, Machine Learning, Experimentation, Data Collection, Probability & Statistics, Research Design, Econometrics, Program Evaluation, Logistic Regression
3.3
Rating, 3.3 out of 5 stars
104 reviews
Advanced · Course · 1 - 3 Months

Status: Free Trial
University of Colorado Boulder
Spacecraft Relative Motion Control
Skills you'll gain: Control Systems, Numerical Analysis, Simulations, Engineering Analysis, Mathematical Modeling, Linear Algebra, Differential Equations, Applied Mathematics
Advanced · Course · 1 - 4 Weeks

What brings you to Coursera today?

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

Advanced Statistics for Data Science: Johns Hopkins University
Logic for Economists: University of Amsterdam
Probabilistic Graphical Models: Stanford University
The Power of Statistics: Google
Spacecraft Formation Relative Orbits: University of Colorado Boulder
Analysis of Algorithms: Princeton University
Probabilistic Graphical Models 2: Inference: Stanford University
Dynamic Programming, Greedy Algorithms: University of Colorado Boulder
Advanced Data Structures, RSA and Quantum Algorithms: University of Colorado Boulder
Light Emitting Diodes and Semiconductor Lasers: University of Colorado Boulder

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.