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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

    • Status: Free Trial
      Free Trial
      W

      Wesleyan University

      Data Analysis Tools

      Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Statistical Software, Correlation Analysis, SAS (Software), Data Analysis, Statistical Methods, Quantitative Research, Probability & Statistics, Analytical Skills, Regression Analysis, Data Management, Statistical Inference

      4.5
      Rating, 4.5 out of 5 stars
      ·
      414 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      SAS

      SAS Statistical Business Analyst

      Skills you'll gain: SAS (Software), Predictive Modeling, Predictive Analytics, Statistical Hypothesis Testing, Statistical Analysis, Correlation Analysis, Statistical Modeling, Regression Analysis, Exploratory Data Analysis, Statistical Methods, Probability & Statistics, Big Data, Plot (Graphics), Data Analysis, Data Literacy, Data Analysis Software, Advanced Analytics, Statistical Machine Learning, Feature Engineering, Performance Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      220 reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      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

    • 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
      ·
      149 reviews

      Intermediate · Course · 1 - 3 Months

    • F

      Fractal Analytics

      Quantum Computing For Everyone - An Introduction

      Skills you'll gain: Computer Science, IBM Cloud, Algorithms, Data Ethics, Computational Thinking, Linear Algebra, Emerging Technologies, Cryptography, Physics, Applied Mathematics

      4
      Rating, 4 out of 5 stars
      ·
      66 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Algorithmic Thinking (Part 1)

      Skills you'll gain: Graph Theory, Algorithms, Computational Thinking, Data Analysis, Data Structures, Theoretical Computer Science, Network Analysis, Analysis, Python Programming, Computer Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      381 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Simple Regression Analysis in Public Health

      Skills you'll gain: Biostatistics, Regression Analysis, Statistical Methods, Statistical Analysis, Epidemiology, Quantitative Research, Public Health, Data Analysis, Probability & Statistics, Statistical Inference

      4.7
      Rating, 4.7 out of 5 stars
      ·
      382 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      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
      ·
      214 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Statistical Modeling for Data Science Applications

      Skills you'll gain: Statistical Inference, Statistical Modeling, Statistical Hypothesis Testing, Regression Analysis, R Programming, Data Ethics, Statistical Methods, Data Analysis, Statistical Analysis, Data Modeling, Predictive Modeling, Probability & Statistics, Advanced Analytics, Correlation Analysis, Forecasting, Data Science, A/B Testing, Machine Learning, Classification And Regression Tree (CART), Linear Algebra

      Build toward a degree

      4.1
      Rating, 4.1 out of 5 stars
      ·
      52 reviews

      Intermediate · Specialization · 3 - 6 Months

    • N

      National Taiwan University

      Operations Research (2): Optimization Algorithms

      Skills you'll gain: Operations Research, Linear Algebra, Numerical Analysis, Applied Mathematics, Algorithms, Process Optimization, Engineering Calculations, Program Implementation, Mathematical Software, Computational Thinking, Operational Analysis, Mathematical Modeling, Decision Making, Calculus

      4.8
      Rating, 4.8 out of 5 stars
      ·
      149 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      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

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Survival Analysis in R for Public Health

      Skills you'll gain: Biostatistics, Statistical Analysis, R Programming, Regression Analysis, Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Analysis, Data Import/Export, Statistical Hypothesis Testing, Descriptive Statistics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      323 reviews

      Intermediate · Course · 1 - 4 Weeks

    Linear Algebra learners also search

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    1…222324…55

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

    • Data Analysis Tools: Wesleyan University
    • SAS Statistical Business Analyst: SAS
    • Digital Signal Processing 2: Filtering: École Polytechnique Fédérale de Lausanne
    • Mécanique quantique: École Polytechnique
    • Quantum Computing For Everyone - An Introduction : Fractal Analytics
    • Algorithmic Thinking (Part 1): Rice University
    • Simple Regression Analysis in Public Health : Johns Hopkins University
    • Precalculus: Relations and Functions: Johns Hopkins University
    • Statistical Modeling for Data Science Applications: University of Colorado Boulder
    • Operations Research (2): Optimization Algorithms: National Taiwan 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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