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    • Linear Algebra

    Linear Algebra Courses Online

    Study linear algebra for mathematical and engineering applications. Learn about matrices, vectors, and linear transformations.

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    Explore the Linear Algebra Course Catalog

    • U

      University of California San Diego

      Advanced Algorithms and Complexity

      Skills you'll gain: Algorithms, Network Routing, Network Model, Graph Theory, Operations Research, Theoretical Computer Science, Network Analysis, Data Structures, Computational Thinking, Linear Algebra, Computer Science, Big Data, Probability & Statistics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      694 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free
      Free
      U

      University of Pennsylvania

      Single Variable Calculus

      Skills you'll gain: Calculus, Numerical Analysis, Applied Mathematics, Engineering Calculations, Integral Calculus, Engineering Analysis, Mathematical Theory & Analysis, Differential Equations, Advanced Mathematics, Estimation, Derivatives

      4.6
      Rating, 4.6 out of 5 stars
      ·
      418 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free
      E

      Erasmus University Rotterdam

      Econometrics: Methods and Applications

      Skills you'll gain: Econometrics, Time Series Analysis and Forecasting, Regression Analysis, Data Analysis, Statistical Analysis, Quantitative Research, Statistical Modeling, Statistics, Predictive Analytics, Probability, Linear Algebra, Peer Review

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.2K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free
      K

      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

    • G

      Georgia Institute of Technology

      Linear Circuits 1: DC Analysis

      Skills you'll gain: Basic Electrical Systems, Electronic Components, Electrical Systems, Electrical Engineering, Engineering Analysis, Electronics, Engineering Calculations, Physics, Differential Equations

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.5K reviews

      Mixed · Course · 1 - 3 Months

    • Status: New AI skills
      New AI skills
      G

      Google

      Google UX Design

      Skills you'll gain: Storyboarding, Wireframing, Responsive Web Design, User Experience Design, Design Thinking, User Research, UI/UX Research, Information Architecture, Figma (Design Software), Usability Testing, User Story, Web Design, Design Reviews, Usability, Presentations, User Experience, Design Research, Ideation, User Centered Design, Mockups

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      90K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • I

      IBM

      Data Analysis with Python

      Skills you'll gain: Data Wrangling, Data Cleansing, Data Analysis, Data Manipulation, Data Import/Export, Exploratory Data Analysis, Data Science, Statistical Analysis, Descriptive Statistics, Regression Analysis, Predictive Modeling, Pandas (Python Package), Scikit Learn (Machine Learning Library), Machine Learning Methods, Data Pipelines, NumPy

      4.7
      Rating, 4.7 out of 5 stars
      ·
      19K reviews

      Intermediate · Course · 1 - 3 Months

    • D

      DeepLearning.AI

      Natural Language Processing

      Skills you'll gain: Natural Language Processing, Supervised Learning, Markov Model, Text Mining, Dimensionality Reduction, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Machine Learning Methods, Data Processing, Feature Engineering, Machine Learning Algorithms, Artificial Intelligence, Algorithms, Keras (Neural Network Library), Linear Algebra, Data Cleansing, Probability & Statistics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      6.1K reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of Amsterdam

      Methods and Statistics in Social Sciences

      Skills you'll gain: Qualitative Research, Scientific Methods, Descriptive Statistics, Statistical Analysis, Statistical Hypothesis Testing, Research, Sampling (Statistics), Probability Distribution, Correlation Analysis, Research Design, Research Reports, Science and Research, Interviewing Skills, Data Analysis, Probability, Data Collection, Statistical Inference, Social Sciences, Statistical Methods, Probability & Statistics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7.7K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Toronto

      Self-Driving Cars

      Skills you'll gain: Computer Vision, Image Analysis, Control Systems, Embedded Software, Automation, Deep Learning, Software Architecture, Simulations, Safety Assurance, Artificial Neural Networks, Global Positioning Systems, Hardware Architecture, Systems Architecture, Artificial Intelligence, Estimation, Algorithms, Machine Learning Methods, Predictive Modeling, Scenario Testing, Spatial Data Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.5K reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Free
      Free
      S

      Stanford University

      Introduction to Mathematical Thinking

      Skills you'll gain: Mathematical Theory & Analysis, Mathematics and Mathematical Modeling, Calculus, Deductive Reasoning, Logical Reasoning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.9K reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Pennsylvania

      Fundamentals of Quantitative Modeling

      Skills you'll gain: Mathematical Modeling, Statistical Modeling, Regression Analysis, Business Modeling, Financial Modeling, Business Mathematics, Markov Model, Probability, Predictive Analytics, Process Optimization, Risk Management, Statistics, Probability Distribution, Simulation and Simulation Software, Forecasting

      4.6
      Rating, 4.6 out of 5 stars
      ·
      9.1K reviews

      Mixed · Course · 1 - 4 Weeks

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    1…567…54

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

    • Advanced Algorithms and Complexity: University of California San Diego
    • Single Variable Calculus: University of Pennsylvania
    • Econometrics: Methods and Applications: Erasmus University Rotterdam
    • DoÄŸrusal Cebir I: Uzaylar ve İşlemciler / Linear Algebra I: Spaces and Operators: Koç University
    • Linear Circuits 1: DC Analysis: Georgia Institute of Technology
    • Google UX Design: Google
    • Data Analysis with Python: IBM
    • Natural Language Processing: DeepLearning.AI
    • Methods and Statistics in Social Sciences: University of Amsterdam
    • Self-Driving Cars: University of Toronto

    Skills you can learn in Machine Learning

    Python Programming (33)
    Tensorflow (32)
    Deep Learning (30)
    Artificial Neural Network (24)
    Big Data (18)
    Statistical Classification (17)
    Reinforcement Learning (13)
    Algebra (10)
    Bayesian (10)
    Linear Algebra (10)
    Linear Regression (9)
    Numpy (9)

    Frequently Asked Questions about Linear Algebra

    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

    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.‎

    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

    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.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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