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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

    • É

      École Polytechnique Fédérale de Lausanne

      Digital Signal Processing 2: Filtering

      Skills you'll gain: Digital Communications, Electrical Engineering, Electrical and Computer Engineering, Telecommunications, Electronic Systems, Engineering Analysis, Computer Engineering, Engineering Calculations, Numerical Analysis, Linear Algebra, Mathematical Modeling, Applied Mathematics, Algorithms, Data Mapping, Real Time Data

      4.7
      Rating, 4.7 out of 5 stars
      ·
      191 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      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

    • N

      New York Institute of Finance

      Reinforcement Learning for Trading Strategies

      Skills you'll gain: Reinforcement Learning, Financial Trading, Deep Learning, Portfolio Management, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Machine Learning Software, Applied Machine Learning, Markov Model, Machine Learning, Financial Market, Time Series Analysis and Forecasting

      3.5
      Rating, 3.5 out of 5 stars
      ·
      239 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of London

      Mathematics for Computer Science

      Skills you'll gain: Arithmetic, Computer Science, Computer Graphics, Computational Thinking, Numerical Analysis, General Mathematics, Mathematical Theory & Analysis, Applied Mathematics, Systems Of Measurement, Algebra, Cryptography

      4.1
      Rating, 4.1 out of 5 stars
      ·
      236 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      U

      University of Pennsylvania

      Calculus: Single Variable Part 2 - Differentiation

      Skills you'll gain: Calculus, Applied Mathematics, Derivatives, Engineering Calculations, Advanced Mathematics, Economics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.2K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free
      Free
      É

      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

    • N

      New York University

      Fundamentals of Machine Learning in Finance

      Skills you'll gain: Supervised Learning, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Machine Learning Algorithms, Decision Tree Learning, Machine Learning, Predictive Modeling, Financial Trading, Financial Market, Reinforcement Learning, Scikit Learn (Machine Learning Library), Correlation Analysis, Exploratory Data Analysis, Portfolio Management, Python Programming, Artificial Neural Networks, Jupyter

      3.7
      Rating, 3.7 out of 5 stars
      ·
      338 reviews

      Intermediate · Course · 1 - 4 Weeks

    • A

      American Psychological Association

      Methods for Quantitative Research in Psychology

      Skills you'll gain: Quantitative Research, Scientific Methods, Research Design, Surveys, Research, Correlation Analysis, Data Collection, Data Analysis, Psychology, Sampling (Statistics)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      155 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of California, Davis

      Coaching Practices

      Skills you'll gain: Employee Coaching, Coaching, Management Training And Development, Key Performance Indicators (KPIs), Performance Management, People Management, Accountability, Performance Analysis, Meeting Facilitation, Constructive Feedback, Goal Setting, Communication

      4.8
      Rating, 4.8 out of 5 stars
      ·
      518 reviews

      Mixed · Course · 1 - 3 Months

    • J

      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

    • Status: Free
      Free
      L

      Lund University

      Medical Applications of Particle Accelerators (NPAP MOOC)

      Skills you'll gain: Medical Imaging, Radiology, Radiation Protection, Radiography, Oncology, Patient Positioning, Patient Treatment, Treatment Planning, Physics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      277 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      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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    1…232425…55

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

    • Digital Signal Processing 2: Filtering: École Polytechnique Fédérale de Lausanne
    • Foundations of Sports Analytics: Data, Representation, and Models in Sports: University of Michigan
    • Reinforcement Learning for Trading Strategies: New York Institute of Finance
    • Mathematics for Computer Science: University of London
    • Calculus: Single Variable Part 2 - Differentiation: University of Pennsylvania
    • Mécanique quantique: École Polytechnique
    • Fundamentals of Machine Learning in Finance: New York University
    • Methods for Quantitative Research in Psychology: American Psychological Association
    • Coaching Practices: University of California, Davis
    • Precalculus: Relations and Functions: Johns Hopkins University

    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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