For IndividualsFor BusinessesFor UniversitiesFor Governments
Coursera
  • Online DegreeExplore Bachelor’s & Master’s degrees
  • MasterTrack™Earn credit towards a Master’s degree
  • University CertificatesAdvance your career with graduate-level learning
Find your New Career
  • Browse
  • Top Courses
  • Log In
  • Join for Free
    Coursera
    • Browse
    • Linear Regression

    Filter by

    282 results for "linear regression"

    • Placeholder
      Duke University

      Linear Regression and Modeling

      Skills you'll gain: Probability & Statistics, Regression, Business Analysis, Data Analysis, General Statistics, Statistical Analysis, Statistical Programming, Econometrics, R Programming

      4.8

      (1.6k reviews)

      Beginner · Course · 1-4 Weeks

    • Placeholder
      DeepLearning.AI

      Supervised Machine Learning: Regression and Classification

      Skills you'll gain: Machine Learning, Probability & Statistics, Regression, General Statistics, Machine Learning Algorithms, Algorithms, Theoretical Computer Science, Econometrics, Computer Programming, Mathematics, Python Programming, Statistical Machine Learning, Statistical Programming, Applied Machine Learning, Artificial Neural Networks, Calculus, Feature Engineering, Linear Algebra, Probability Distribution, Accounting

      4.9

      (8.1k reviews)

      Beginner · Course · 1-4 Weeks

    • Placeholder
      Rice University

      Linear Regression for Business Statistics

      Skills you'll gain: General Statistics, Probability & Statistics, Regression, Statistical Tests, Business Analysis, Correlation And Dependence, Data Analysis, Econometrics, Experiment, Mathematics, Statistical Analysis

      4.8

      (1.3k reviews)

      Mixed · Course · 1-4 Weeks

    • Placeholder
      Johns Hopkins University

      Regression Models

      Skills you'll gain: Basic Descriptive Statistics, Correlation And Dependence, Data Analysis, Econometrics, Estimation, General Statistics, Linear Algebra, Probability & Statistics, R Programming, Regression, Statistical Analysis, Statistical Programming, Statistical Tests, Data Science, Probability Distribution, Business Analysis

      4.4

      (3.3k reviews)

      Mixed · Course · 1-4 Weeks

    • Placeholder
      University of Washington

      Machine Learning: Regression

      Skills you'll gain: Machine Learning, Regression, Statistical Analysis, Statistical Machine Learning, Linear Algebra, Machine Learning Algorithms, Applied Machine Learning, Data Mining, Data Science, Machine Learning Software, Data Analysis, General Statistics, Statistical Tests, Feature Engineering, Basic Descriptive Statistics, Probability & Statistics, Algorithms, Computer Programming, Mathematical Theory & Analysis, Mathematics, Python Programming, Statistical Programming, Theoretical Computer Science

      4.8

      (5.5k reviews)

      Mixed · Course · 1-3 Months

    • Placeholder
      Coursera Project Network

      Simple Linear Regression for the Absolute Beginner

      Skills you'll gain: Econometrics, General Statistics, Probability & Statistics, Regression, Machine Learning, Python Programming

      4.5

      (11 reviews)

      Beginner · Guided Project · Less Than 2 Hours

    • Placeholder
      Placeholder
      IBM Skills Network

      Supervised Machine Learning: Regression

      Skills you'll gain: Machine Learning, Regression, Statistical Machine Learning, Human Resources, Leadership Development, Leadership and Management, Machine Learning Algorithms, Algebra, Basic Descriptive Statistics, Data Analysis, Data Analysis Software, Exploratory Data Analysis, Mathematics, Statistical Analysis, Statistical Tests

      4.7

      (363 reviews)

      Intermediate · Course · 1-3 Months

    • Placeholder
      Placeholder
      Queen Mary University of London

      The Classical Linear Regression Model

      Skills you'll gain: Econometrics, Probability & Statistics, Regression, General Statistics

      3.0

      (8 reviews)

      Beginner · Course · 1-4 Weeks

    • Placeholder
      Placeholder
      Johns Hopkins University

      Advanced Linear Models for Data Science 1: Least Squares

      Skills you'll gain: Probability & Statistics, Mathematics, General Statistics, Linear Algebra, Regression, Econometrics, Experiment, Machine Learning, Algebra, Artificial Neural Networks, Dimensionality Reduction, Machine Learning Algorithms, Probability Distribution, Statistical Machine Learning, Communication

      4.4

      (175 reviews)

      Advanced · Course · 1-3 Months

    • Placeholder
      Placeholder
      Coursera Project Network

      Predict Sales Revenue with scikit-learn

      Skills you'll gain: Applied Machine Learning, Computer Programming, Data Analysis, General Statistics, Machine Learning, Machine Learning Algorithms, Probability & Statistics, Python Programming, Regression, Statistical Programming, Accounting, Data Management, Exploratory Data Analysis, Financial Analysis

      4.5

      (230 reviews)

      Beginner · Guided Project · Less Than 2 Hours

    • Placeholder
      Placeholder
      Coursera Project Network

      Graduate Admission Prediction with Pyspark ML

      Skills you'll gain: Apache, Big Data, Data Management, Machine Learning, Mathematics, Probability & Statistics, Regression, Data Analysis

      4.7

      (26 reviews)

      Intermediate · Guided Project · Less Than 2 Hours

    • Placeholder
      Placeholder
      Coursera Project Network

      Linear Regression with NumPy and Python

      Skills you'll gain: Computer Programming, General Statistics, Machine Learning, Probability & Statistics, Python Programming, Regression, Statistical Programming, Data Science

      4.5

      (950 reviews)

      Intermediate · Guided Project · Less Than 2 Hours

    Searches related to linear regression

    linear regression and modeling
    linear regression with python
    linear regression in r for public health
    linear regression for business statistics
    linear regression with numpy and python
    linear regression and multiple linear regression in julia
    simple linear regression for the absolute beginner
    multiple linear regression with scikit-learn
    1234…24

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

    • Linear Regression and Modeling: Duke University
    • Supervised Machine Learning: Regression and Classification: DeepLearning.AI
    • Linear Regression for Business Statistics: Rice University
    • Regression Models: Johns Hopkins University
    • Machine Learning: Regression: University of Washington
    • Simple Linear Regression for the Absolute Beginner: Coursera Project Network
    • Supervised Machine Learning: Regression: IBM Skills Network
    • The Classical Linear Regression Model: Queen Mary University of London
    • Advanced Linear Models for Data Science 1: Least Squares: Johns Hopkins University
    • Predict Sales Revenue with scikit-learn: Coursera Project Network

    Skills you can learn in Probability And Statistics

    R Programming (19)
    Inference (16)
    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.‎

    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.
    Other topics to explore
    Placeholder
    Arts and Humanities
    338 courses
    Placeholder
    Business
    1095 courses
    Placeholder
    Computer Science
    668 courses
    Placeholder
    Data Science
    425 courses
    Placeholder
    Information Technology
    145 courses
    Placeholder
    Health
    471 courses
    Placeholder
    Math and Logic
    70 courses
    Placeholder
    Personal Development
    137 courses
    Placeholder
    Physical Science and Engineering
    413 courses
    Placeholder
    Social Sciences
    401 courses
    Placeholder
    Language Learning
    150 courses

    Coursera Footer

    Learn Something New

    • Learn a Language
    • Learn Accounting
    • Learn Coding
    • Learn Copywriting
    • Learn HR
    • Learn Public Relations
    • Boulder MS Data Science
    • Illinois iMBA
    • Illinois MS Computer Science
    • UMich MS in Applied Data Science

    Popular Data Science Topics

    • Artificial Intelligence
    • Data Analysis
    • Data Engineering
    • Data Science
    • Excel
    • Machine Learning
    • Python
    • Power BI
    • R Programming
    • SQL

    Popular Computer Science & IT Topics

    • Blockchain
    • Coding
    • Computer Science
    • Cybersecurity
    • Full Stack Web Development
    • IT
    • Java
    • Software Engineering
    • Web Design
    • Web Development

    Popular Business Topics

    • Accounting
    • Business Finance
    • Communication Skills
    • Leadership & Management
    • Marketing
    • Product Management
    • Project Management
    • UX Design
    • UX Research
    • Writing

    Coursera

    • About
    • What We Offer
    • Leadership
    • Careers
    • Catalog
    • Coursera Plus
    • Professional Certificates
    • MasterTrack® Certificates
    • Degrees
    • For Enterprise
    • For Government
    • For Campus
    • Become a Partner
    • Coronavirus Response
    • Free Courses
    • All Courses

    Community

    • Learners
    • Partners
    • Beta Testers
    • Translators
    • Blog
    • Tech Blog
    • Teaching Center

    More

    • Press
    • Investors
    • Terms
    • Privacy
    • Help
    • Accessibility
    • Contact
    • Articles
    • Directory
    • Affiliates
    • Modern Slavery Statement
    Learn Anywhere
    Placeholder
    Placeholder
    Placeholder
    © 2023 Coursera Inc. All rights reserved.
    • Placeholder
    • Placeholder
    • Placeholder
    • Placeholder
    • Placeholder
    • Placeholder