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    • Linear Regression

    Linear Regression Courses Online

    Explore linear regression for statistical modeling. Learn to analyze relationships between variables and make predictions based on data.

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    Explore the Linear Regression Course Catalog

    • I
      U
      I

      Multiple educators

      Data Science Foundations

      Skills you'll gain: Dashboard, Pseudocode, Jupyter, Algorithms, Data Mining, Pandas (Python Package), Correlation Analysis, Web Scraping, NumPy, Probability & Statistics, Predictive Modeling, Big Data, Automation, Data Visualization Software, Data Collection, Data Science, GitHub, Python Programming, Machine Learning Algorithms, Unsupervised Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      111K reviews

      Beginner · Specialization · 3 - 6 Months

    • S

      SAS

      Predictive Modeling with Logistic Regression using SAS

      Skills you'll gain: SAS (Software), Predictive Modeling, Statistical Modeling, Predictive Analytics, Big Data, Regression Analysis, Data Analysis Software, Feature Engineering, Performance Analysis, Performance Measurement, Statistical Analysis, Data Cleansing, Statistical Hypothesis Testing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      61 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      I

      IIT Roorkee

      Linear Algebra Basics

      Skills you'll gain: Linear Algebra, Machine Learning Algorithms, NumPy, Dimensionality Reduction, Advanced Mathematics, Applied Mathematics, General Mathematics, Data Transformation, Python Programming

      Intermediate · Course · 1 - 3 Months

    • U

      University of Washington

      Machine Learning Foundations: A Case Study Approach

      Skills you'll gain: Applied Machine Learning, Feature Engineering, Regression Analysis, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Deep Learning, Classification And Regression Tree (CART), Computer Vision, Predictive Modeling, Natural Language Processing, Text Mining, Python Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      14K reviews

      Mixed · Course · 1 - 3 Months

    • D

      DeepLearning.AI

      Calculus for Machine Learning and Data Science

      Skills you'll gain: Applied Mathematics, Calculus, NumPy, Machine Learning, Jupyter, Python Programming, Artificial Neural Networks, Visualization (Computer Graphics), Deep Learning, Derivatives

      4.8
      Rating, 4.8 out of 5 stars
      ·
      822 reviews

      Intermediate · Course · 1 - 4 Weeks

    • H

      Howard University

      Introduction to Linear Algebra and Python

      Skills you'll gain: Linear Algebra, Data Visualization, NumPy, Jupyter, Mathematical Modeling, Data Science, Python Programming, Data Analysis, Software Installation, Git (Version Control System)

      4.3
      Rating, 4.3 out of 5 stars
      ·
      15 reviews

      Beginner · Course · 1 - 4 Weeks

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      U

      University of Michigan

      Prediction Models with Sports Data

      Skills you'll gain: Forecasting, Predictive Analytics, Predictive Modeling, Data Analysis, Analytics, Regression Analysis, Statistical Analysis, Business Ethics, Python Programming, Probability & Statistics, Data Ethics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      39 reviews

      Intermediate · Course · 1 - 3 Months

    • Placeholder
      K

      Korea Advanced Institute of Science and Technology(KAIST)

      Math for AI beginner part 1 Linear Algebra

      Skills you'll gain: Linear Algebra, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Applied Mathematics, Deep Learning, Machine Learning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      28 reviews

      Beginner · Course · 1 - 3 Months

    • Placeholder
      H

      Howard University

      Fundamental Linear Algebra Concepts with Python

      Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Algebra, Python Programming, Data Manipulation, Data Science, Computer Programming

      4.4
      Rating, 4.4 out of 5 stars
      ·
      15 reviews

      Mixed · Course · 1 - 4 Weeks

    • Placeholder
      Status: Free
      Free
      I

      Illinois Tech

      Data Preparation and Analysis

      Skills you'll gain: Machine Learning Algorithms, Statistical Analysis, Data Analysis, Exploratory Data Analysis, Statistical Methods, Probability & Statistics, Data Cleansing, Analytics, Machine Learning, Data Science, Regression Analysis, Data Quality, Predictive Modeling, Python Programming, Feature Engineering, Scikit Learn (Machine Learning Library), Classification And Regression Tree (CART), Performance Metric

      Build toward a degree

      Intermediate · Course · 1 - 3 Months

    • Placeholder
      J

      Johns Hopkins University

      Advanced Linear Models for Data Science 1: Least Squares

      Skills you'll gain: Regression Analysis, Statistical Modeling, R Programming, Linear Algebra, Data Science, Mathematical Modeling, Data Modeling, Predictive Modeling, Statistical Analysis, Applied Mathematics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      187 reviews

      Advanced · Course · 1 - 3 Months

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      S

      Sungkyunkwan University

      Using R for Regression and Machine Learning in Investment

      Skills you'll gain: Regression Analysis, Predictive Analytics, Predictive Modeling, Investment Management, Risk Analysis, Investments, R Programming, Statistical Methods, Machine Learning, Statistical Analysis, Financial Analysis, Applied Machine Learning, Financial Data, Data Manipulation, Algorithms

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 1 - 4 Weeks

    Linear Regression learners also search

    Regression
    Linear Programming
    Regression Analysis
    Linear Algebra
    Regression Models
    Logistic Regression
    Predictive Modeling
    Statistical Modeling
    1…789…72

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

    • Data Science Foundations: IBM
    • Predictive Modeling with Logistic Regression using SAS : SAS
    • Linear Algebra Basics: IIT Roorkee
    • Machine Learning Foundations: A Case Study Approach: University of Washington
    • Calculus for Machine Learning and Data Science: DeepLearning.AI
    • Introduction to Linear Algebra and Python: Howard University
    • Prediction Models with Sports Data: University of Michigan
    • Math for AI beginner part 1 Linear Algebra: Korea Advanced Institute of Science and Technology(KAIST)
    • Fundamental Linear Algebra Concepts with Python: Howard University
    • Data Preparation and Analysis: Illinois Tech

    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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