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.

How can I purchase mathematics training courses for my team?

Looking to enhance your team's mathematics skills? Coursera provides tailored enterprise solutions for teams ranging of 5-125 employees. Our offerings include advanced analytics, customized learning paths, and collaborative tools. To explore our mathematics training options and make a purchase, please visit our Coursera for Teams page.

Top Mathematics Courses - Learn Mathematics Online

Explore the Mathematics Course Catalog

Imperial College London
Mathematics for Machine Learning: Linear Algebra
Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Data Transformation, Data Science, Machine Learning Methods, Algorithms, Data Manipulation, Python Programming
4.7
Rating, 4.7 out of 5 stars
12K 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
Status: Free
Stanford University
Introduction to Logic
Skills you'll gain: Logical Reasoning, Computational Logic, Deductive Reasoning, Computational Thinking, Business Logic, Applied Mathematics
4.4
Rating, 4.4 out of 5 stars
641 reviews
Intermediate · Course · 1 - 3 Months
The University of Sydney
Introduction to Linear Algebra
Skills you'll gain: Linear Algebra, Markov Model, Geometry, Arithmetic, Algebra, General Mathematics, Advanced Mathematics, Probability, Mathematics and Mathematical Modeling, Mathematical Theory & Analysis, Applied Mathematics, Engineering Analysis
4.8
Rating, 4.8 out of 5 stars
26 reviews
Intermediate · Course · 1 - 4 Weeks
Johns Hopkins University
Precalculus through Data and Modelling
Skills you'll gain: Data Analysis, Applied Mathematics, Mathematical Modeling, Graphing, Trigonometry, Analytical Skills, R Programming, Data Modeling, Statistics, Algebra, Regression Analysis, Correlation Analysis, Systems Of Measurement, Geometry
4.7
Rating, 4.7 out of 5 stars
298 reviews
Beginner · Specialization · 3 - 6 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, Computational Thinking, Encryption, Mathematical Theory & Analysis, Network Analysis, Public Key Cryptography Standards (PKCS), Algorithms, Theoretical Computer Science, Python Programming, Data Structures, Cybersecurity, Computer Programming, Mathematical Modeling
4.5
Rating, 4.5 out of 5 stars
3.6K reviews
Beginner · Specialization · 3 - 6 Months
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
4.3
Rating, 4.3 out of 5 stars
6 reviews
Intermediate · Course · 1 - 4 Weeks
Johns Hopkins University
Differential Calculus through Data and Modeling
Skills you'll gain: Calculus, Applied Mathematics, Data Modeling, Estimation, Graphing, Mathematical Modeling, Numerical Analysis, Algebra, Trigonometry, Engineering Calculations, Linear Algebra, Operations Research, Data Analysis, Plot (Graphics), Advanced Mathematics, Mathematical Theory & Analysis, Derivatives, Geometry
4.8
Rating, 4.8 out of 5 stars
329 reviews
Intermediate · Specialization · 3 - 6 Months
Status: Free
University of Pennsylvania
Calculus: Single Variable Part 1 - Functions
Skills you'll gain: Calculus, Integral Calculus, Mathematical Theory & Analysis, Algebra, Advanced Mathematics, Applied Mathematics, Derivatives
4.7
Rating, 4.7 out of 5 stars
2.3K reviews
Mixed · Course · 1 - 4 Weeks
Stanford University
Algorithms
Skills you'll gain: Data Structures, Graph Theory, Algorithms, Bioinformatics, Theoretical Computer Science, Computational Thinking, Network Analysis, Network Routing, Mathematical Theory & Analysis, Analysis, Probability, Design Strategies, Computer Science
4.8
Rating, 4.8 out of 5 stars
5.9K reviews
Intermediate · Specialization · 3 - 6 Months
Status: Free
Peking University
离散数学概论 Discrete Mathematics Generality
Skills you'll gain: Theoretical Computer Science, Computational Logic, Graph Theory, Logical Reasoning, Computational Thinking, Spatial Analysis, Deductive Reasoning, Network Analysis, Algebra, Information Technology, Computer Science, Algorithms
4.7
Rating, 4.7 out of 5 stars
278 reviews
Beginner · Course · 3 - 6 Months
Imperial College London
Mathematics for Machine Learning: PCA
Skills you'll gain: Dimensionality Reduction, NumPy, Probability & Statistics, Jupyter, Statistics, Geometry, Linear Algebra, Data Transformation, Python Programming, Advanced Mathematics, Machine Learning, Machine Learning Algorithms, Calculus
4
Rating, 4 out of 5 stars
3.1K reviews
Intermediate · Course · 1 - 4 Weeks