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  • Linear Regression

Linear Regression Courses

Linear regression courses can help you learn how to analyze relationships between variables, interpret coefficients, and evaluate model performance. You can build skills in data visualization, hypothesis testing, and making predictions based on data trends. Many courses introduce tools like Python, R, and Excel, that support implementing regression models and analyzing datasets effectively.


Popular Linear Regression Courses and Certifications


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    The Hong Kong University of Science and Technology

    Mathematics for Engineers

    Skills you'll gain: Differential Equations, Linear Algebra, Matlab, Engineering Calculations, Engineering Analysis, Numerical Analysis, Finite Element Methods, Integral Calculus, Mathematical Software, Mechanical Engineering, Calculus, Algebra, Applied Mathematics, Mathematical Modeling, Engineering, Simulation and Simulation Software, Advanced Mathematics, Geometry, Computational Thinking, Estimation

    4.8
    Rating, 4.8 out of 5 stars
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    7.6K reviews

    Beginner · Specialization · 3 - 6 Months

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    University of Colorado System

    Applied Kalman Filtering

    Skills you'll gain: Bayesian Network, Linear Algebra, Numerical Analysis, Mathematical Modeling, Estimation, Matlab, Statistical Modeling, Advanced Mathematics, Simulations, Time Series Analysis and Forecasting, Global Positioning Systems, Simulation and Simulation Software, Probability & Statistics, System Implementation, Systems Of Measurement, Applied Mathematics, Statistical Methods, Differential Equations, Predictive Analytics, Control Systems

    4.9
    Rating, 4.9 out of 5 stars
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    26 reviews

    Intermediate · Specialization · 3 - 6 Months

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    MathWorks

    Predictive Modeling and Machine Learning with MATLAB

    Skills you'll gain: Supervised Learning, Applied Machine Learning, Matlab, Regression Analysis, Predictive Modeling, Classification And Regression Tree (CART), Machine Learning, Feature Engineering, Predictive Analytics, Statistical Modeling, Data Processing, Sampling (Statistics)

    4.8
    Rating, 4.8 out of 5 stars
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    119 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Vanderbilt University

    MATLAB Programming for Engineers and Scientists

    Skills you'll gain: Prompt Engineering, Image Analysis, Data Visualization Software, Matlab, Algorithms, Machine Learning Methods, User Interface (UI), Applied Machine Learning, ChatGPT, Scatter Plots, Object Oriented Programming (OOP), Dimensionality Reduction, Classification And Regression Tree (CART), Computer Programming, Histogram, AI Personalization, Data Processing, Data Analysis, Programming Principles, Debugging

    4.8
    Rating, 4.8 out of 5 stars
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    18K reviews

    Beginner · Specialization · 3 - 6 Months

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    MathWorks

    Deep Learning for Computer Vision

    Skills you'll gain: Computer Vision, Anomaly Detection, Image Analysis, Matlab, Deep Learning, Artificial Neural Networks, Unsupervised Learning, Application Deployment, PyTorch (Machine Learning Library), Data Visualization, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Data Synthesis, Performance Tuning, Data Analysis, Classification And Regression Tree (CART), Data Validation, Medical Imaging

    4.9
    Rating, 4.9 out of 5 stars
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    32 reviews

    Beginner · Specialization · 1 - 3 Months

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    MathWorks

    Practical Data Science with MATLAB

    Skills you'll gain: Data Storytelling, Feature Engineering, Data Visualization, Supervised Learning, Dimensionality Reduction, Data Integration, Interactive Data Visualization, Exploratory Data Analysis, Data Import/Export, Technical Communication, Data Analysis, Applied Machine Learning, Data Visualization Software, Matlab, Regression Analysis, Data Processing, Descriptive Statistics, Data Cleansing, Predictive Modeling, Data Manipulation

    4.8
    Rating, 4.8 out of 5 stars
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    1.1K reviews

    Beginner · Specialization · 3 - 6 Months

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Kalman Filter Boot Camp (and State Estimation)

    Skills you'll gain: Linear Algebra, Mathematical Modeling, Estimation, Matlab, Statistical Modeling, Applied Mathematics, Control Systems, Time Series Analysis and Forecasting, Simulation and Simulation Software, Probability & Statistics, System Implementation, Differential Equations

    4.9
    Rating, 4.9 out of 5 stars
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    19 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    The Hong Kong University of Science and Technology

    Numerical Methods for Engineers

    Skills you'll gain: Matlab, Engineering Calculations, Numerical Analysis, Mathematical Software, Engineering Analysis, Linear Algebra, Differential Equations, Applied Mathematics, Mathematical Modeling, Simulation and Simulation Software, Computational Thinking, Estimation, Integral Calculus, Scripting, Simulations, Calculus, Scientific Visualization, Programming Principles, Plot (Graphics), Algorithms

    4.9
    Rating, 4.9 out of 5 stars
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    400 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    MathWorks

    Introduction to Deep Learning for Computer Vision

    Skills you'll gain: Computer Vision, Image Analysis, Matlab, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Performance Tuning, Classification And Regression Tree (CART)

    4.9
    Rating, 4.9 out of 5 stars
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    17 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    U

    University of Washington

    Computational Neuroscience

    Skills you'll gain: Supervised Learning, Network Model, Matlab, Machine Learning Algorithms, Artificial Neural Networks, Computer Science, Computer Vision, Reinforcement Learning, Computational Thinking, Mathematical Modeling, Biology, Linear Algebra, Information Architecture, Differential Equations, Probability & Statistics

    4.6
    Rating, 4.6 out of 5 stars
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    1.1K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University at Buffalo

    Computer Vision Basics

    Skills you'll gain: Computer Vision, Image Analysis, Computer Graphics, Visualization (Computer Graphics), Digital Design, Artificial Intelligence, Applied Machine Learning, Computer Programming, Matlab, Algorithms, Calculus, Probability & Statistics

    4.2
    Rating, 4.2 out of 5 stars
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    1.8K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    Universidad de los Andes

    Introducción al análisis de sistemas de control con MATLAB

    Skills you'll gain: Control Systems, Mathematical Modeling, Matlab, Systems Analysis, Simulations, Systems Design, Differential Equations, Applied Mathematics, Linear Algebra

    4.8
    Rating, 4.8 out of 5 stars
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    61 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Mathematics for Engineers: The Hong Kong University of Science and Technology
  • Applied Kalman Filtering: University of Colorado System
  • Predictive Modeling and Machine Learning with MATLAB: MathWorks
  • MATLAB Programming for Engineers and Scientists: Vanderbilt University
  • Deep Learning for Computer Vision: MathWorks
  • Practical Data Science with MATLAB: MathWorks
  • Kalman Filter Boot Camp (and State Estimation): University of Colorado System
  • Numerical Methods for Engineers: The Hong Kong University of Science and Technology
  • Introduction to Deep Learning for Computer Vision: MathWorks
  • Computational Neuroscience: University of Washington

Skills you can learn in Probability And Statistics

R Programming (19)
Inference (16)
Linear Regression (12)
Statistical Analysis (12)
Statistical Inference (11)
Regression Analysis (10)
Biostatistics (9)
Bayesian (7)
Logistic Regression (7)
Probability Distribution (7)
Bayesian Statistics (6)
Medical Statistics (6)

Frequently Asked Questions about Linear Regression

Linear regression is a type of statistical data analysis that examines which variables help significantly predict the outcome of a situation. You can use linear regression to determine the relationships between one dependent variable and one or more independent variables to sort out which variables will contribute most to the outcome you seek to achieve. Linear regression also helps you forecast the impact that changes to variables will make in different scenarios. It's a tool you can use to help predict outcomes and make adjustments to help achieve the outcome you're looking for.‎

If you're in a career that relies on data analysis, linear regression is a tool that can help you determine the relationship between variables that affect scenarios that you need to predict or plan for. You can use linear regression to anticipate how the factors that affect a situation now will make a difference in the future. For example, you can use linear regression to predict the cost of a project or the amount of time it will take to complete the project based on different variables. Linear regression can help you make more informed and educated decisions to better navigate the present and plan for the future.‎

Data analysts use linear regression in different areas of business to determine which variables affect outcomes the most. You can apply linear regression as a data scientist or analyst with a single company or in a consultant role across multiple businesses. You can even set up your own business as a consultant to be in control of your own schedule and career trajectory. Analysts use linear regression in polling and surveys as well as in policy research fields, and various corporations use data analysis to help plan for the future. You can also apply your knowledge of linear regression in higher education and as a professor or research assistant.‎

You can use online courses to learn linear regression in order to deepen your knowledge and skills in your current job or to find a new career. Whether you're already familiar with linear regression or whether you're brand new to the concept, online courses can give you the knowledge you need to apply linear regression in your workplace. Online courses not only teach you the concepts, but they also provide you with real-life applications of what you're learning. One of the biggest benefits of online learning is that you can sharpen your skills in a way that fits your schedule and lifestyle. You can walk away from your online learning confident in what you've discovered about linear regression and prepared to apply it to your career.‎

Online Linear Regression courses offer a convenient and flexible way to enhance your knowledge or learn new Linear Regression skills. Choose from a wide range of Linear Regression courses offered by top universities and industry leaders tailored to various skill levels.‎

When looking to enhance your workforce's skills in Linear Regression, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

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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