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  • Linear Algebra

Linear Algebra Courses

Linear Algebra courses can help you learn vector spaces, matrix operations, eigenvalues, and linear transformations. You can build skills in solving systems of equations, performing dimensionality reduction, and applying concepts to data analysis and machine learning. Many courses introduce tools such as MATLAB, Python libraries like NumPy, and software for computational mathematics, that support implementing algorithms and visualizing data in various applications, including artificial intelligence and AI-driven models.

Popular Linear Algebra Courses and Certifications


  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM UI/UX Designer

    Skills you'll gain: User Story, Information Architecture, UI/UX Research, User Research, Persona (User Experience), User Interface and User Experience (UI/UX) Design, Design Thinking, Agile Software Development, UI/UX Strategy, Scrum (Software Development), User Centered Design, Design Research, Responsive Web Design, User Interface (UI), Figma (Design Software), Wireframing, User Experience, Adobe XD, Responsible AI, Prototyping

    4.8
    Rating, 4.8 out of 5 stars
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    2.9K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
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    U

    University of Michigan

    Linear Regression Modeling for Health Data

    Skills you'll gain: Statistical Modeling, Statistics, Regression Analysis, Statistical Methods, Sampling (Statistics), Statistical Inference, Probability & Statistics, Correlation Analysis, Data Analysis, Statistical Analysis, Statistical Software, Statistical Hypothesis Testing, Predictive Modeling

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    T

    The University of Chicago

    Global Warming I: The Science and Modeling of Climate Change

    Skills you'll gain: Climate Change Mitigation, Mitigation, Environment, Environmental Issue, Physical Science, Sustainable Development, Physics, Mathematical Modeling, Environmental Science, Simulations, electromagnetics, Chemistry

    4.6
    Rating, 4.6 out of 5 stars
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    460 reviews

    Mixed · Course · 1 - 3 Months

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    Johns Hopkins University

    Honors Algebra 2: Polynomials and Complex Numbers

    Skills you'll gain: Mathematical Modeling, Advanced Mathematics, Mathematical Theory & Analysis, Applied Mathematics, Algebra, Arithmetic, Graphing, Engineering Calculations

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    E

    Edge Impulse

    Introduction to Embedded Machine Learning

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Embedded Software, Model Training, Data Preprocessing, Machine Learning Methods, Embedded Systems, Machine Learning, Machine Learning Algorithms, Artificial Neural Networks, Data Ethics, Deep Learning, Responsible AI, Data Collection, Model Deployment, Convolutional Neural Networks, Predictive Modeling, Feature Engineering, Model Optimization, Computer Programming

    4.8
    Rating, 4.8 out of 5 stars
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    756 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free
    Free
    U

    University of Pennsylvania

    Calculus: Single Variable Part 1 - Functions

    Skills you'll gain: Calculus, Mathematical Theory & Analysis, Algebra, Advanced Mathematics, Applied Mathematics, Derivatives

    4.7
    Rating, 4.7 out of 5 stars
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    2.4K reviews

    Mixed · Course · 1 - 4 Weeks

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    Packt

    Matrix Calculus for Data Science & Machine Learning

    Skills you'll gain: Model Optimization, Calculus, Machine Learning Methods, NumPy, Machine Learning Algorithms, Applied Machine Learning, Tensorflow, Python Programming, Derivatives, Development Environment

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    University of Michigan

    Fitting Statistical Models to Data with Python

    Skills you'll gain: Statistical Modeling, Statistical Methods, Bayesian Statistics, Statistical Inference, Statistical Software, Model Evaluation, Statistical Analysis, Statistical Programming, Regression Analysis, Predictive Modeling, Advanced Analytics, Jupyter, Logistic Regression, Exploratory Data Analysis, Correlation Analysis, Dependency Analysis, Python Programming, Data Visualization Software

    4.4
    Rating, 4.4 out of 5 stars
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    717 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Johns Hopkins University

    Principles of fMRI 1

    Skills you'll gain: Magnetic Resonance Imaging, Medical Imaging, Radiology, Statistical Methods, Research Design, Image Analysis, Neurology, Hemodynamics, Data Preprocessing, Regression Analysis, Statistical Analysis, Statistical Modeling, Spatial Analysis, Time Series Analysis and Forecasting, Research Methodologies, Statistical Inference, Statistics

    4.7
    Rating, 4.7 out of 5 stars
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    850 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Honors Algebra 2: Series, Trigonometry, and Probability

    Skills you'll gain: Trigonometry, Probability, Data Analysis, Probability & Statistics, Data Literacy, Statistical Analysis, Algebra, Probability Distribution, Descriptive Statistics, Mathematical Modeling, Graphing, Applied Mathematics, Statistics, Arithmetic

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    U

    University of California, Davis

    Setting Expectations & Assessing Performance Issues

    Skills you'll gain: Team Performance Management, Expectation Management, Performance Management, Key Performance Indicators (KPIs), Accountability Frameworks, Employee Coaching, Employee Performance Management, Management Training And Development, Performance Metric, Coaching, Accountability, Performance Analysis, Performance Measurement, Gap Analysis, Performance Improvement, Goal Setting

    4.8
    Rating, 4.8 out of 5 stars
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    720 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Linear Regression in R for Public Health

    Skills you'll gain: Correlation Analysis, Regression Analysis, Data Analysis, R Programming, Descriptive Statistics, Descriptive Analytics, Statistical Modeling, R (Software), Exploratory Data Analysis, Model Evaluation, Statistical Analysis, Statistical Methods, Probability & Statistics, Biostatistics, Predictive Modeling, Model Training, Data Manipulation, Data Import/Export

    4.8
    Rating, 4.8 out of 5 stars
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    530 reviews

    Intermediate · Course · 1 - 4 Weeks

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Skills you can learn in Machine Learning

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Statistical Classification (17)
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Linear Algebra (10)
Linear Regression (9)
Numpy (9)

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