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.

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Results for "linear algebra"

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, Geometry, Graph Theory, Applied Machine Learning, Markov Model
4.7
Rating, 4.7 out of 5 stars
152 reviews
Beginner · Specialization · 3 - 6 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, Statistical Methods, Engineering Analysis
4.8
Rating, 4.8 out of 5 stars
26 reviews
Intermediate · Course · 1 - 4 Weeks
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
DeepLearning.AI
Linear Algebra for Machine Learning and Data Science
Skills you'll gain: Linear Algebra, NumPy, Dimensionality Reduction, Jupyter, Data Manipulation, Data Science, Machine Learning Algorithms, Applied Mathematics, Python Programming
4.6
Rating, 4.6 out of 5 stars
1.9K reviews
Intermediate · Course · 1 - 4 Weeks
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
121 reviews
Beginner · Course · 1 - 4 Weeks
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, Statistical Analysis, Artificial Neural Networks, Algorithms, Data Manipulation, Mathematical Modeling
4.6
Rating, 4.6 out of 5 stars
15K reviews
Beginner · Specialization · 3 - 6 Months
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
4.8
Rating, 4.8 out of 5 stars
52 reviews
Mixed · Course · 1 - 3 Months
Johns Hopkins University
Linear Algebra: Orthogonality and Diagonalization
Skills you'll gain: Linear Algebra, Artificial Intelligence and Machine Learning (AI/ML), Geometry, Applied Mathematics, Algebra, Mathematical Modeling
4.9
Rating, 4.9 out of 5 stars
33 reviews
Intermediate · Course · 1 - 4 Weeks
University of Colorado Boulder
Essential Linear Algebra for Data Science
Skills you'll gain: Linear Algebra, Applied Mathematics, Data Science, Data Analysis, Statistical Methods, Algebra, Numerical Analysis
4.4
Rating, 4.4 out of 5 stars
164 reviews
Intermediate · 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
699 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
2.6K reviews
Intermediate · Specialization · 1 - 3 Months
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
4.5K reviews
Beginner · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular linear algebra courses

Linear Algebra from Elementary to Advanced: Johns Hopkins University
Introduction to Linear Algebra: The University of Sydney
Mathematics for Machine Learning: Linear Algebra: Imperial College London
Linear Algebra for Machine Learning and Data Science: DeepLearning.AI
Linear Algebra: Linear Systems and Matrix Equations: Johns Hopkins University
Mathematics for Machine Learning: Imperial College London
Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors: Johns Hopkins University
Linear Algebra: Orthogonality and Diagonalization: Johns Hopkins University
Essential Linear Algebra for Data Science: University of Colorado Boulder
Algebra: Elementary to Advanced: Johns Hopkins University