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

Explore the Mathematics Course Catalog

Imperial College London
Mathematics for Machine Learning
Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Applied Mathematics, Probability & Statistics, Data Transformation, Jupyter, Data Science, Advanced Mathematics, Statistics, Machine Learning Algorithms, Geometry, Machine Learning Methods, Artificial Neural Networks, Algorithms, Data Manipulation, Mathematical Modeling, Python Programming
4.6
Rating, 4.6 out of 5 stars
15K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free
Birla Institute of Technology & Science, Pilani
Basic Mathematics
Skills you'll gain: Calculus, Trigonometry, Algebra, Mathematical Theory & Analysis, Differential Equations, Linear Algebra
4.5
Rating, 4.5 out of 5 stars
131 reviews
Beginner · Course · 1 - 3 Months
The Hong Kong University of Science and Technology
Mathematics for Engineers
Skills you'll gain: Differential Equations, Linear Algebra, Matlab, Engineering Calculations, Engineering Analysis, Numerical Analysis, Finite Element Methods, Integral Calculus, Mechanical Engineering, Calculus, Algebra, Mathematics and Mathematical Modeling, Applied Mathematics, Mathematical Modeling, Engineering, Civil Engineering, Advanced Mathematics, Geometry, Computational Thinking, Mathematical Theory & Analysis
4.8
Rating, 4.8 out of 5 stars
7.5K reviews
Beginner · Specialization · 3 - 6 Months
DeepLearning.AI
Mathematics for Machine Learning and Data Science
Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Probability, Linear Algebra, Statistical Inference, A/B Testing, Statistical Analysis, Applied Mathematics, NumPy, Calculus, Dimensionality Reduction, Machine Learning, Jupyter, Python Programming, Data Manipulation, Data Science
4.6
Rating, 4.6 out of 5 stars
2.7K reviews
Intermediate · Specialization · 1 - 3 Months
Status: Free
Stanford University
Introduction to Mathematical Thinking
Skills you'll gain: Mathematical Theory & Analysis, Mathematics and Mathematical Modeling, Calculus, Deductive Reasoning, General Mathematics, Logical Reasoning
4.8
Rating, 4.8 out of 5 stars
2.9K reviews
Intermediate · Course · 1 - 3 Months
Status: Free
The University of Sydney
Introduction to Calculus
Skills you'll gain: Calculus, Integral Calculus, Algebra, Advanced Mathematics, Geometry, Trigonometry, Arithmetic, Derivatives, Mathematical Modeling, Graphing
4.8
Rating, 4.8 out of 5 stars
3.8K reviews
Intermediate · Course · 1 - 3 Months
Status: Free
Shanghai Jiao Tong University
Discrete Mathematics
Skills you'll gain: Combinatorics, Graph Theory, Theoretical Computer Science, Advanced Mathematics, Network Analysis, Logical Reasoning, Computational Thinking, Algorithms, Data Structures, Computer Science
3.3
Rating, 3.3 out of 5 stars
195 reviews
Intermediate · Course · 1 - 3 Months
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, Cryptography, Probability, Key Management, Computational Thinking, Encryption, Mathematical Theory & Analysis, Network Analysis, Public Key Cryptography Standards (PKCS), Algorithms, Theoretical Computer Science, Python Programming, Data Structures, Cybersecurity, Mathematical Modeling
4.5
Rating, 4.5 out of 5 stars
3.6K reviews
Beginner · Specialization · 3 - 6 Months
Johns Hopkins University
Linear Algebra from Elementary to Advanced
Skills you'll gain: Linear Algebra, Algebra, Applied Mathematics, Artificial Intelligence and Machine Learning (AI/ML), Mathematical Modeling, Advanced Mathematics, Engineering Analysis, Mathematical Theory & Analysis, Numerical Analysis, Geometry, Graph Theory, Applied Machine Learning, Markov Model
4.7
Rating, 4.7 out of 5 stars
167 reviews
Beginner · Specialization · 3 - 6 Months
University of London
Mathematics for Computer Science
Skills you'll gain: Graphing, Computational Thinking, Arithmetic, Applied Mathematics, Mathematical Modeling, Numerical Analysis, General Mathematics, Computer Science, Computer Graphics, Systems Of Measurement, Cryptography
4.1
Rating, 4.1 out of 5 stars
234 reviews
Beginner · Course · 1 - 3 Months
Status: Free
Duke University
Data Science Math Skills
Skills you'll gain: Probability, Bayesian Statistics, Calculus, Graphing, Data Science, Algebra, Arithmetic, Derivatives
4.5
Rating, 4.5 out of 5 stars
13K reviews
Beginner · Course · 1 - 3 Months
Johns Hopkins University
Algebra: Elementary to Advanced
Skills you'll gain: Algebra, Mathematical Modeling, Graphing, Arithmetic, Advanced Mathematics, Applied Mathematics, Analytical Skills, Probability & Statistics, Linear Algebra, Geometry, Calculus
4.8
Rating, 4.8 out of 5 stars
718 reviews
Beginner · Specialization · 3 - 6 Months