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

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Explore the Linear Algebra Course Catalog

Packt
The Complete Quantum Computing Course for Beginners
Skills you'll gain: Object Oriented Programming (OOP), Python Programming, Data Structures, Data Manipulation, Computer Programming, Applied Mathematics, Algorithms, Mathematics and Mathematical Modeling, Data Processing, Scripting, Linear Algebra, Probability, Mathematical Modeling, IBM Cloud, Computer Science, Algebra, Software Installation, Probability & Statistics, Theoretical Computer Science, Artificial Intelligence and Machine Learning (AI/ML)
4.2
Rating, 4.2 out of 5 stars
29 reviews
Beginner · Specialization · 3 - 6 Months
University of Michigan
Foundations of Sports Analytics: Data, Representation, and Models in Sports
Skills you'll gain: Statistical Methods, Regression Analysis, Data Cleansing, Statistical Hypothesis Testing, Correlation Analysis, Matplotlib, Data Manipulation, Data Visualization, Statistical Analysis, Scatter Plots, Probability & Statistics, R Programming, Data Analysis, Descriptive Statistics, Pandas (Python Package), Python Programming
4.4
Rating, 4.4 out of 5 stars
186 reviews
Intermediate · Course · 1 - 3 Months
Status: Free
École Polytechnique
Mécanique quantique
Skills you'll gain: Physics, Mechanics, Semiconductors, Linear Algebra, Probability, Calculus, Differential Equations, Advanced Mathematics, Mathematical Modeling, Experimentation
4.8
Rating, 4.8 out of 5 stars
148 reviews
Intermediate · Course · 1 - 3 Months
Rice University
Physics 101 - Rotational Motion and Gravitation
Skills you'll gain: Torque (Physics), Mechanics, Physics, Geometry, Algebra, Trigonometry, Calculus, Mathematical Modeling, Applied Mathematics
4.8
Rating, 4.8 out of 5 stars
70 reviews
Intermediate · Course · 1 - 4 Weeks
University of Michigan
Linear Regression Modeling for Health Data
Skills you'll gain: Statistical Modeling, Regression Analysis, Statistical Methods, Statistical Inference, Probability & Statistics, Correlation Analysis, Data Analysis, Statistical Analysis, Statistical Hypothesis Testing, Predictive Modeling
Intermediate · Course · 1 - 4 Weeks
Amazon
Data Structures and Algorithms
Skills you'll gain: JUnit, Test Driven Development (TDD), Version Control, Git (Version Control System), GitHub, Performance Tuning, Unit Testing, Data Structures, Development Testing, Algorithms, Program Development, Software Testing, Java, Computer Programming, Programming Principles, Debugging, Scalability
4.5
Rating, 4.5 out of 5 stars
25 reviews
Beginner · Course · 1 - 4 Weeks
Tsinghua University
Data Structures and Algorithms (I)
Skills you'll gain: Data Structures, Algorithms, Theoretical Computer Science, Spatial Analysis, Computational Thinking, Computational Logic, Computer Programming
3.1
Rating, 3.1 out of 5 stars
33 reviews
Intermediate · Course · 1 - 3 Months
Johns Hopkins University
Precalculus: Relations and Functions
Skills you'll gain: Graphing, Data Analysis, R Programming, General Mathematics, Mathematical Modeling, Algebra, Applied Mathematics, Calculus
4.7
Rating, 4.7 out of 5 stars
213 reviews
Beginner · Course · 1 - 4 Weeks
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)
Differential Equations Part II Series Solutions
Skills you'll gain: Differential Equations, Applied Mathematics, Advanced Mathematics, Calculus, Linear Algebra, Engineering Analysis, Mathematical Theory & Analysis
4.5
Rating, 4.5 out of 5 stars
11 reviews
Beginner · Course · 1 - 3 Months
University of Colorado Boulder
Kinetics: Studying Spacecraft Motion
Skills you'll gain: Mechanics, Torque (Physics), Engineering Calculations, Engineering Analysis, Differential Equations, Mathematical Modeling, Engineering, Simulation and Simulation Software, Applied Mathematics, Linear Algebra, Physics
4.8
Rating, 4.8 out of 5 stars
132 reviews
Advanced · Course · 1 - 4 Weeks
Coursera Project Network
Principal Component Analysis with NumPy
Skills you'll gain: Exploratory Data Analysis, NumPy, Data Visualization, Data Analysis, Seaborn, Matplotlib, Cloud Computing, Jupyter, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Python Programming, Linear Algebra
4.6
Rating, 4.6 out of 5 stars
295 reviews
Intermediate · Guided Project · Less Than 2 Hours

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

The Complete Quantum Computing Course for Beginners: Packt
Foundations of Sports Analytics: Data, Representation, and Models in Sports: University of Michigan
Mécanique quantique: École Polytechnique
Physics 101 - Rotational Motion and Gravitation : Rice University
Linear Regression Modeling for Health Data: University of Michigan
Data Structures and Algorithms: Amazon
Data Structures and Algorithms (I): Tsinghua University
Precalculus: Relations and Functions: Johns Hopkins University
Methods for Quantitative Research in Psychology: American Psychological Association
Differential Equations Part II Series Solutions: Korea Advanced Institute of Science and Technology(KAIST)

Linear Algebra Courses Online