What skills can I learn in mathematics courses on Coursera?

Mathematics courses on Coursera provide a comprehensive curriculum designed to strengthen your analytical skills and problem-solving abilities, including: Proficiency in core mathematical principles such as algebra , calculus , and geometry Advanced topics like differential equations and complex variables Application of mathematical theories to real-world problems in engineering , physics , and economics Techniques for logical reasoning and abstract thinking Use of mathematical software tools for computation and visualization

Do I need prior experience in mathematics to enroll in these courses?

Coursera’s mathematics courses are accessible to learners of all backgrounds: Introductory courses do not require prior experience and start with fundamental concepts. Intermediate courses are suitable for those with basic knowledge in mathematics, expanding into more detailed aspects of the subject. Advanced courses target professionals and students looking to deepen their expertise in specialized mathematical areas.

What certifications and credentials can I earn by studying mathematics on Coursera?

By participating in Coursera’s mathematics courses, you can earn various credentials that reflect your level of expertise: Course certificates for completing individual modules demonstrating essential mathematical knowledge Professional certificates that signify proficiency in specific mathematical fields such as applied mathematics or statistical analysis Degree courses and specializations that can serve as a substantial academic qualification in mathematics

What career opportunities are available with skills in mathematics?

A strong foundation in mathematics can lead to diverse career opportunities in multiple sectors, including: Actuarial Analyst , utilizing mathematical skills to assess risk in insurance and finance Statistical Researcher, providing insights in healthcare, public policy, and technology Cryptanalyst , securing data and communications with advanced mathematical techniques Quantitative Developer, designing algorithms and models in the finance sector Academic roles in education institutions teaching and developing mathematical curriculum These careers utilize deep mathematical knowledge to innovate solutions and drive success across various industries.

Are there free mathematics courses or certifications available on Coursera?

Yes, Coursera offers a variety of free courses across many topics, including mathematics. While you can access most course materials for free by auditing the courses, this does not include graded assignments or a completion certificate. For those looking to obtain a certificate to showcase their learning or enhance their professional profile, Coursera provides the option to purchase the course. Additionally, Coursera offers free trials or financial aid to learners who qualify, making certifications more accessible to everyone.

Top Mathematics Courses - Learn Mathematics Online

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Explore the Mathematics Course Catalog

The University of Sydney
Introduction to Advanced Calculus
Skills you'll gain: Advanced Mathematics, Integral Calculus, Calculus, Mathematical Theory & Analysis, Differential Equations, Applied Mathematics, Engineering Calculations, Mathematical Modeling, Linear Algebra, Physics, Derivatives
4.7
Rating, 4.7 out of 5 stars
12 reviews
Intermediate · Course · 1 - 4 Weeks
Imperial College London
Introduction to Statistics & Data Analysis in Public Health
Skills you'll gain: Analytical Skills, Sampling (Statistics), Statistical Hypothesis Testing, Data Literacy, Data Analysis, Statistical Software, R Programming, Statistics, Public Health, Descriptive Statistics, Probability Distribution, Data Import/Export
4.7
Rating, 4.7 out of 5 stars
1.5K reviews
Beginner · Course · 1 - 4 Weeks
Status: Free
The University of Tokyo
Welcome to Game Theory
Skills you'll gain: Game Theory, Strategic Thinking, Socioeconomics, Social Sciences, Behavioral Economics, Economics, Strategic Decision-Making, Decision Making, Business Strategy, Probability
4.7
Rating, 4.7 out of 5 stars
2K reviews
Beginner · Course · 1 - 4 Weeks
Johns Hopkins University
Precalculus: Periodic Functions
Skills you'll gain: Trigonometry, Systems Of Measurement, Geometry, Mathematical Modeling, Graphing, Algebra, Applied Mathematics
4.7
Rating, 4.7 out of 5 stars
106 reviews
Beginner · Course · 1 - 3 Months
Korea Advanced Institute of Science and Technology(KAIST)
Math for AI beginner part 1 Linear Algebra
Skills you'll gain: Linear Algebra, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Applied Mathematics, Deep Learning, Machine Learning, Supervised Learning
4.4
Rating, 4.4 out of 5 stars
29 reviews
Beginner · Course · 1 - 3 Months
University of Colorado System
Mathematical Foundations for Cryptography
Skills you'll gain: Cryptography, Arithmetic, Algorithms, Applied Mathematics, Probability, Computer Science
4.6
Rating, 4.6 out of 5 stars
329 reviews
Beginner · Course · 1 - 4 Weeks
Rice University
Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions
Skills you'll gain: Descriptive Statistics, Probability & Statistics, Probability Distribution, Business Analytics, Microsoft Excel, Data Analysis, Statistical Analysis, Box Plots, Sampling (Statistics), Correlation Analysis
4.7
Rating, 4.7 out of 5 stars
2.6K reviews
Mixed · Course · 1 - 4 Weeks
Status: Free
Universidad de los Andes
Aprendizaje de las matemáticas de primaria
Skills you'll gain: Mathematics Education, Arithmetic, Geometry, Systems Of Measurement, Applied Mathematics
4.9
Rating, 4.9 out of 5 stars
496 reviews
Beginner · Course · 1 - 3 Months
Status: Free
University of London
Probability and Statistics: To p or not to p?
Skills you'll gain: Descriptive Statistics, Statistics, Probability & Statistics, Statistical Hypothesis Testing, Data Visualization, Data-Driven Decision-Making, Statistical Modeling, Data Analysis, Probability, Probability Distribution, Sampling (Statistics), Risk Modeling, Statistical Inference, Mathematical Modeling
4.6
Rating, 4.6 out of 5 stars
1.5K reviews
Beginner · Course · 1 - 3 Months
Status: Free
University of London
Foundations of Data Science: K-Means Clustering in Python
Skills you'll gain: Data Visualization, Matplotlib, Probability & Statistics, Data Science, Unsupervised Learning, Statistics, NumPy, Python Programming, Pandas (Python Package), Data Analysis, Machine Learning Algorithms, Descriptive Statistics, Data Manipulation
4.6
Rating, 4.6 out of 5 stars
716 reviews
Beginner · Course · 1 - 3 Months
Status: Free
University of Pennsylvania
Calculus: Single Variable Part 4 - Applications
Skills you'll gain: Calculus, Integral Calculus, Applied Mathematics, Probability & Statistics, Geometry, Probability, Advanced Mathematics, Torque (Physics), Statistics, Mechanics, Mathematical Modeling, Physics
4.9
Rating, 4.9 out of 5 stars
274 reviews
Mixed · Course · 1 - 3 Months
University of Colorado Boulder
Data Science Foundations: Statistical Inference
Skills you'll gain: Statistical Hypothesis Testing, Probability, Probability & Statistics, Statistical Inference, Statistical Methods, Probability Distribution, Statistics, Bayesian Statistics, Statistical Modeling, Data Science, Sampling (Statistics), Statistical Analysis, Data Ethics, Quantitative Research
Build toward a degree
4.4
Rating, 4.4 out of 5 stars
321 reviews
Intermediate · Specialization · 3 - 6 Months

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

Introduction to Advanced Calculus: The University of Sydney
Introduction to Statistics & Data Analysis in Public Health: Imperial College London
Welcome to Game Theory: The University of Tokyo
Precalculus: Periodic Functions: Johns Hopkins University
Math for AI beginner part 1 Linear Algebra: Korea Advanced Institute of Science and Technology(KAIST)
Mathematical Foundations for Cryptography: University of Colorado System
Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions: Rice University
Aprendizaje de las matemáticas de primaria: Universidad de los Andes
Probability and Statistics: To p or not to p?: University of London
Foundations of Data Science: K-Means Clustering in Python: University of London

Mathematics Courses Online