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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Find the Best Mathematics Course for Your Goals

Johns Hopkins University
Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors
Skills you'll gain: Linear Algebra, Applied Mathematics, Algebra, Advanced Mathematics, Graph Theory, Geometry, Applied Machine Learning, Markov Model, Probability
4.8
Rating, 4.8 out of 5 stars
58 reviews
Mixed · Course · 1 - 3 Months
Status: Free
Koç University
Doğrusal Cebir I: Uzaylar ve İşlemciler / Linear Algebra I: Spaces and Operators
Skills you'll gain: Linear Algebra, Applied Mathematics, Algebra, Engineering Calculations, General Mathematics, Calculus, Mathematics and Mathematical Modeling, Advanced Mathematics, Differential Equations, Mathematical Modeling, Mathematical Theory & Analysis, Geometry
4.1
Rating, 4.1 out of 5 stars
43 reviews
Mixed · Course · 1 - 3 Months
Status: Free
Koç University
Çok değişkenli Fonksiyon I: Kavramlar / Multivariable Calculus I: Concepts
Skills you'll gain: Geometry, Integral Calculus, Calculus, Applied Mathematics, Linear Algebra, Advanced Mathematics, Derivatives, Algebra, Mathematical Theory & Analysis, Graphing
4.6
Rating, 4.6 out of 5 stars
28 reviews
Mixed · Course · 1 - 3 Months
American Psychological Association
Methods for Quantitative Research in Psychology
Skills you'll gain: Quantitative Research, Scientific Methods, Research Design, Research, General Science and Research, Correlation Analysis, Data Collection, Social Sciences, Experimentation, Data Analysis, Psychology, Sampling (Statistics)
4.8
Rating, 4.8 out of 5 stars
155 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
Icahn School of Medicine at Mount Sinai
Network Analysis in Systems Biology
Skills you'll gain: Bioinformatics, Unsupervised Learning, Network Analysis, Data Analysis, Molecular Biology, Statistical Analysis, Machine Learning Algorithms, Biology, Data Processing, Data Integration, R Programming, Unix Commands
4.5
Rating, 4.5 out of 5 stars
200 reviews
Intermediate · Course · 1 - 3 Months
University of Colorado Boulder
Introduction to Machine Learning: Supervised Learning
Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Scikit Learn (Machine Learning Library), Matplotlib, Random Forest Algorithm, Machine Learning, Predictive Modeling, Data Science, Python Programming, Classification And Regression Tree (CART), Mathematical Modeling, Applied Mathematics, Exploratory Data Analysis, Statistical Programming, Regression Analysis, Feature Engineering, Data Cleansing, Performance Tuning
Build toward a degree
3.4
Rating, 3.4 out of 5 stars
75 reviews
Intermediate · Course · 1 - 3 Months
Arizona State University
Introduction to Materials Science
Skills you'll gain: Chemical Engineering, Chemistry, Engineering, Mechanical Engineering, Physical Science, Physics, Semiconductors
4.7
Rating, 4.7 out of 5 stars
132 reviews
Beginner · Course · 1 - 3 Months
Starweaver
Matlab and Simulink Basics
Skills you'll gain: Matlab, Scientific Visualization, Simulation and Simulation Software, Mathematical Modeling, Engineering Analysis, Numerical Analysis, Integrated Development Environments, Data Structures, Scripting, Computer Programming, Debugging
4
Rating, 4 out of 5 stars
37 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free
University of Maryland, College Park
Exploring Quantum Physics
Skills you'll gain: Physics, Quantitative Research, Science and Research, Mechanics, Physical Science, Chemistry, Advanced Mathematics, Linear Algebra, Calculus, Mathematical Modeling, Engineering Analysis, Differential Equations
4.2
Rating, 4.2 out of 5 stars
67 reviews
Mixed · Course · 1 - 3 Months
University of Colorado Boulder
Battery Pack Balancing and Power Estimation
Skills you'll gain: Power Electronics, Electrical Power, Electrical Systems, Electrical Engineering, Estimation, Simulations, Electronic Systems, Matlab, Numerical Analysis, Mathematical Modeling, Applied Mathematics, Algorithms
4.9
Rating, 4.9 out of 5 stars
103 reviews
Intermediate · Course · 1 - 3 Months
University of Colorado Boulder
Control Systems Analysis: Modeling of Dynamic Systems
Skills you'll gain: Control Systems, Mathematical Modeling, Engineering Analysis, Differential Equations, Engineering Calculations, Systems Analysis, Electrical Systems, Mechanics, Applied Mathematics, Basic Electrical Systems
Build toward a degree
4.7
Rating, 4.7 out of 5 stars
80 reviews
Intermediate · Course · 1 - 3 Months

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

Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors: Johns Hopkins University
Doğrusal Cebir I: Uzaylar ve İşlemciler / Linear Algebra I: Spaces and Operators: Koç University
Çok değişkenli Fonksiyon I: Kavramlar / Multivariable Calculus I: Concepts: Koç University
Methods for Quantitative Research in Psychology: American Psychological Association
Math for AI beginner part 1 Linear Algebra: Korea Advanced Institute of Science and Technology(KAIST)
Network Analysis in Systems Biology: Icahn School of Medicine at Mount Sinai
Introduction to Machine Learning: Supervised Learning: University of Colorado Boulder
Introduction to Materials Science : Arizona State University
Matlab and Simulink Basics : Starweaver
Exploring Quantum Physics: University of Maryland, College Park

Mathematics Courses