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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Explore the Linear Algebra Course Catalog

Status: Free
Korea Advanced Institute of Science and Technology(KAIST)
Differential Equations Part I Basic Theory
Skills you'll gain: Differential Equations, Mathematical Modeling, Applied Mathematics, Calculus, Linear Algebra, Vibrations, Mechanics
4.7
Rating, 4.7 out of 5 stars
1.4K reviews
Beginner · Course · 1 - 3 Months
Imperial College London
Mathematics for Machine Learning: Multivariate Calculus
Skills you'll gain: Regression Analysis, Calculus, Advanced Mathematics, Machine Learning Algorithms, Statistical Analysis, Linear Algebra, Artificial Neural Networks, Python Programming, Derivatives
4.7
Rating, 4.7 out of 5 stars
5.7K reviews
Beginner · Course · 1 - 3 Months
Status: Free
Universidad Nacional Autónoma de México
Álgebra básica
Skills you'll gain: Algebra, General Mathematics, Arithmetic, Applied Mathematics, Geometry
4.8
Rating, 4.8 out of 5 stars
3.6K reviews
Mixed · Course · 1 - 3 Months
Status: Free
The University of Sydney
Introduction to Calculus
Skills you'll gain: Calculus, Integral Calculus, Algebra, Advanced Mathematics, Geometry, Applied Mathematics, Engineering Calculations, Trigonometry, Arithmetic, Derivatives, Mathematical Modeling, Graphing, Estimation
4.8
Rating, 4.8 out of 5 stars
3.8K reviews
Intermediate · Course · 1 - 3 Months
Vanderbilt University
Introduction to Data, Signal, and Image Analysis with MATLAB
Skills you'll gain: Data Visualization, Image Analysis, Data Visualization Software, Machine Learning Methods, Matlab, Applied Machine Learning, Statistical Methods, Data Analysis, Data Processing, Computer Vision, Regression Analysis
4.7
Rating, 4.7 out of 5 stars
218 reviews
Intermediate · Course · 1 - 3 Months
IBM
Introduction to Neural Networks and PyTorch
Skills you'll gain: PyTorch (Machine Learning Library), Artificial Neural Networks, Deep Learning, Predictive Modeling, Probability & Statistics, Machine Learning, Regression Analysis, Data Manipulation, Linear Algebra
4.4
Rating, 4.4 out of 5 stars
1.8K reviews
Intermediate · Course · 1 - 3 Months
Howard University
Fundamental Linear Algebra Concepts with Python
Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Numerical Analysis, Algebra, Python Programming, Data Manipulation
4.4
Rating, 4.4 out of 5 stars
15 reviews
Mixed · Course · 1 - 4 Weeks
Johns Hopkins University
Advanced Linear Models for Data Science 1: Least Squares
Skills you'll gain: Regression Analysis, Statistical Modeling, R Programming, Linear Algebra, Data Science, Mathematical Modeling, Predictive Modeling, Statistical Analysis, Applied Mathematics, Advanced Mathematics
4.5
Rating, 4.5 out of 5 stars
187 reviews
Advanced · Course · 1 - 3 Months
University of Colorado Boulder
Approximation Algorithms and Linear Programming
Skills you'll gain: Operations Research, Algorithms, Applied Mathematics, Graph Theory, Network Model, Linear Algebra, Combinatorics, Computational Thinking, Mathematical Modeling, Theoretical Computer Science, Python Programming, Network Analysis
Build toward a degree
4.9
Rating, 4.9 out of 5 stars
44 reviews
Advanced · Course · 1 - 4 Weeks
DeepLearning.AI
Calculus for Machine Learning and Data Science
Skills you'll gain: Applied Mathematics, Calculus, Numerical Analysis, Mathematical Modeling, Machine Learning, Python Programming, Regression Analysis, Artificial Neural Networks, Deep Learning, Derivatives
4.8
Rating, 4.8 out of 5 stars
840 reviews
Intermediate · Course · 1 - 4 Weeks
Johns Hopkins University
Algebra: Elementary to Advanced - Equations & Inequalities
Skills you'll gain: Algebra, Arithmetic, Mathematical Modeling, Applied Mathematics, Graphing, Probability & Statistics
4.8
Rating, 4.8 out of 5 stars
583 reviews
Beginner · Course · 1 - 3 Months
IBM
Exploratory Data Analysis for Machine Learning
Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Data Cleansing, Data Access, Data Analysis, Statistical Inference, Statistical Hypothesis Testing, Data Quality, Data Science, Probability & Statistics, Jupyter, Machine Learning, Data Manipulation, Pandas (Python Package), Statistical Analysis, Data Transformation, Artificial Intelligence
4.6
Rating, 4.6 out of 5 stars
2.2K reviews
Intermediate · Course · 1 - 3 Months

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

Differential Equations Part I Basic Theory: Korea Advanced Institute of Science and Technology(KAIST)
Mathematics for Machine Learning: Multivariate Calculus: Imperial College London
Álgebra básica: Universidad Nacional Autónoma de México
Introduction to Calculus: The University of Sydney
Introduction to Data, Signal, and Image Analysis with MATLAB: Vanderbilt University
Introduction to Neural Networks and PyTorch: IBM
Fundamental Linear Algebra Concepts with Python: Howard University
Advanced Linear Models for Data Science 1: Least Squares: Johns Hopkins University
Approximation Algorithms and Linear Programming : University of Colorado Boulder
Calculus for Machine Learning and Data Science: DeepLearning.AI

Linear Algebra Courses Online