What skills can I learn in linear algebra courses on Coursera?

Linear algebra courses on Coursera cover a wide array of fundamental and advanced topics, enabling learners to: Understand vectors and matrices and their applications in various fields Learn methods for solving systems of linear equations Explore eigenvalues and eigenvectors and their significance in transformations Apply linear algebra concepts to computer graphics , data analysis , and more Discover how linear algebra supports machine learning and artificial intelligence algorithms

Do I need prior experience in mathematics to start these linear algebra courses?

No prior experience in advanced mathematics is required to start with the introductory linear algebra courses available on Coursera. These courses are designed to accommodate learners at different proficiency levels: Beginners can start with basic concepts of vectors and matrix operations. Intermediate learners can delve into more complex subjects such as linear transformations and space. Advanced learners can tackle topics like abstract vector spaces and computational linear algebra.

What certifications and credentials can I earn through linear algebra courses on Coursera?

Coursera offers various credentials through its linear algebra courses, designed to cater to both novices and professionals: Course certificates that validate your knowledge of linear algebra fundamentals Professional certificates that demonstrate your specialized skills in mathematics Specializations with focused expertise in advanced linear algebra topics

How can I purchase linear algebra training courses for my team?

Looking to enhance your team's linear algebra 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 linear algebra training options and make a purchase, please visit our Coursera for Teams page.

Top Linear Algebra Courses - Learn Linear Algebra Online

Explore the Linear Algebra Course Catalog

Status: Free Trial
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, Probability
4.7
Rating, 4.7 out of 5 stars
203 reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
Imperial College London
Mathematics for Machine Learning: Linear Algebra
Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Machine Learning Algorithms, Data Science, Algorithms, Data Manipulation, Python Programming
4.7
Rating, 4.7 out of 5 stars
12K reviews
Beginner · Course · 1 - 3 Months
Status: New
Status: Free Trial
Johns Hopkins University
Honors Algebra 2
Skills you'll gain: Algebra, Graphing, Applied Mathematics, Mathematical Modeling, Trigonometry, Probability, Advanced Mathematics, Data Analysis, Logical Reasoning, General Mathematics, Probability Distribution, Mathematical Theory & Analysis, Descriptive Statistics, Arithmetic, Statistics, Engineering Calculations, Calculus, Visualization (Computer Graphics), Geometry, Analytical Skills
Beginner · Specialization · 3 - 6 Months
Status: New
Status: Preview
Universitat Politècnica de València
Bases matemáticas: Álgebra
Skills you'll gain: Linear Algebra, Algebra, Applied Mathematics, General Mathematics
Intermediate · Course · 1 - 4 Weeks
Status: New
Status: Preview
Universitat Politècnica de València
Basic Math: Algebra
Skills you'll gain: Linear Algebra, Algebra, Geometry, General Mathematics, Applied Mathematics, Arithmetic
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
DeepLearning.AI
Linear Algebra for Machine Learning and Data Science
Skills you'll gain: Linear Algebra, NumPy, Dimensionality Reduction, Machine Learning Methods, Jupyter, Data Manipulation, Data Science, Applied Mathematics, Machine Learning, Python Programming, Image Analysis
4.6
Rating, 4.6 out of 5 stars
2.2K reviews
Intermediate · Course · 1 - 4 Weeks

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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, Mathematical Modeling, Applied Mathematics, Statistical Methods, Engineering Analysis
4.8
Rating, 4.8 out of 5 stars
35 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
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
73 reviews
Mixed · Course · 1 - 3 Months
Status: Free Trial
Johns Hopkins University
Linear Algebra: Linear Systems and Matrix Equations
Skills you'll gain: Linear Algebra, Algebra, Mathematical Modeling, Engineering Analysis, Applied Mathematics, Mathematical Theory & Analysis, Geometry
4.7
Rating, 4.7 out of 5 stars
154 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
Imperial College London
Mathematics for Machine Learning
Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Applied Mathematics, Probability & Statistics, Unsupervised Learning, Machine Learning Algorithms, Jupyter, Data Science, Advanced Mathematics, Statistics, Statistical Analysis, Artificial Neural Networks, Algorithms, Data Manipulation, Python Programming, Derivatives
4.6
Rating, 4.6 out of 5 stars
15K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
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, Linear Algebra, Statistical Inference, A/B Testing, Statistical Analysis, Applied Mathematics, NumPy, Probability, Calculus, Dimensionality Reduction, Numerical Analysis, Mathematical Modeling, Machine Learning, Machine Learning Methods, Jupyter
4.6
Rating, 4.6 out of 5 stars
3K reviews
Intermediate · Specialization · 1 - 3 Months
Status: Free Trial
The Hong Kong University of Science and Technology
Matrix Algebra for Engineers
Skills you'll gain: Linear Algebra, Engineering Calculations, Algebra, Engineering Analysis, General Mathematics, Advanced Mathematics, Applied Mathematics, Arithmetic, Computational Logic
4.9
Rating, 4.9 out of 5 stars
4.6K reviews
Beginner · Course · 1 - 4 Weeks