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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

    • M

      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 Science

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1K reviews

      Beginner · Specialization · 3 - 6 Months

    • G

      Google Cloud

      Launching into Machine Learning

      Skills you'll gain: Data Quality, Exploratory Data Analysis, Machine Learning, MLOps (Machine Learning Operations), Applied Machine Learning, Scikit Learn (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Google Cloud Platform, Machine Learning Algorithms, Data Analysis, Predictive Modeling, Big Data, Classification And Regression Tree (CART), Regression Analysis, Data Processing, Sampling (Statistics), Test Data, Performance Tuning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      4.3K reviews

      Beginner · Course · 1 - 3 Months

    • W

      Wesleyan University

      Data Analysis and Interpretation

      Skills you'll gain: Regression Analysis, Data Storytelling, Classification And Regression Tree (CART), Statistical Hypothesis Testing, Descriptive Statistics, Data Presentation, Statistical Analysis, Statistical Software, Correlation Analysis, Exploratory Data Analysis, Decision Tree Learning, Data Manipulation, Data Management, Data Analysis, Predictive Modeling, Data Visualization, Data Literacy, Random Forest Algorithm, SAS (Software), Statistical Modeling

      4.4
      Rating, 4.4 out of 5 stars
      ·
      1.4K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Alberta

      Prediction and Control with Function Approximation

      Skills you'll gain: Reinforcement Learning, Deep Learning, Feature Engineering, Machine Learning, Supervised Learning, Artificial Neural Networks, Pseudocode, Linear Algebra, Probability Distribution

      4.8
      Rating, 4.8 out of 5 stars
      ·
      834 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      K

      Korea Advanced Institute of Science and Technology(KAIST)

      Differential Equations Part I Basic Theory

      Skills you'll gain: Differential Equations, Mathematical Modeling, Applied Mathematics, Calculus, Linear Algebra, Vibrations, Mechanics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.4K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of California, Santa Cruz

      Bayesian Statistics: Techniques and Models

      Skills you'll gain: Bayesian Statistics, Statistical Modeling, Statistical Methods, Markov Model, Statistical Analysis, Regression Analysis, R Programming, Simulations, Statistical Inference, Data Analysis, Probability, Probability Distribution

      4.8
      Rating, 4.8 out of 5 stars
      ·
      489 reviews

      Intermediate · Course · 1 - 3 Months

    • I

      Illinois Tech

      Variable Selection, Model Validation, Nonlinear Regression

      Skills you'll gain: Statistical Inference, Statistical Methods, Statistical Analysis, Regression Analysis, Statistical Modeling, R Programming, Probability & Statistics, Advanced Analytics, Predictive Modeling, Mathematical Modeling, Data Validation, Probability

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Michigan

      Sports Performance Analytics

      Skills you'll gain: Forecasting, Statistical Methods, Regression Analysis, Data Cleansing, Scikit Learn (Machine Learning Library), Supervised Learning, Data Processing, Statistical Hypothesis Testing, Correlation Analysis, Predictive Analytics, Predictive Modeling, Matplotlib, Applied Machine Learning, Kinesiology, Injury Prevention, Statistical Machine Learning, Analytics, Data Analysis, Statistical Analysis, Probability & Statistics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      255 reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of Illinois Urbana-Champaign

      Accounting Data Analytics

      Skills you'll gain: Machine Learning Algorithms, Jupyter, Tableau Software, Matplotlib, Data Visualization Software, Unsupervised Learning, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data Manipulation, Machine Learning, Excel Macros, Text Mining, Applied Machine Learning, Time Series Analysis and Forecasting, Data Processing, Analytics, SQL, Supervised Learning, Accounting and Finance Software, Specialized Accounting

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      562 reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of Colorado Boulder

      Expressway to Data Science: Essential Math

      Skills you'll gain: Linear Algebra, Integral Calculus, Algebra, Numerical Analysis, Calculus, Graphing, Applied Mathematics, Data Science, Mathematical Theory & Analysis, Data Analysis, Statistical Methods, Derivatives

      4.5
      Rating, 4.5 out of 5 stars
      ·
      432 reviews

      Intermediate · Specialization · 3 - 6 Months

    • É

      École Polytechnique Fédérale de Lausanne

      Digital Signal Processing 1: Basic Concepts and Algorithms

      Skills you'll gain: Digital Communications, Electrical and Computer Engineering, Programming Principles, Engineering Analysis, Electronics, Telecommunications, Advanced Mathematics, Algorithms, Linear Algebra, Time Series Analysis and Forecasting, Mathematical Modeling, Computational Logic, Applied Mathematics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      621 reviews

      Intermediate · Course · 1 - 4 Weeks

    • I

      Illinois Tech

      Statistical Learning

      Skills you'll gain: Statistical Analysis, Data Analysis, Data Science, Statistical Programming, Statistical Machine Learning, Statistical Methods, Statistical Modeling, Machine Learning Algorithms, Applied Machine Learning, Regression Analysis, Probability & Statistics, Advanced Analytics, Machine Learning, Bayesian Statistics, Statistical Inference, Supervised Learning, Predictive Modeling, Classification And Regression Tree (CART), Unsupervised Learning, Feature Engineering

      Build toward a degree

      Intermediate · Course · 1 - 3 Months

    Linear Regression learners also search

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    1…161718…72

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

    • Practical Data Science with MATLAB: MathWorks
    • Launching into Machine Learning: Google Cloud
    • Data Analysis and Interpretation: Wesleyan University
    • Prediction and Control with Function Approximation: University of Alberta
    • Differential Equations Part I Basic Theory: Korea Advanced Institute of Science and Technology(KAIST)
    • Bayesian Statistics: Techniques and Models: University of California, Santa Cruz
    • Variable Selection, Model Validation, Nonlinear Regression: Illinois Tech
    • Sports Performance Analytics: University of Michigan
    • Accounting Data Analytics: University of Illinois Urbana-Champaign
    • Expressway to Data Science: Essential Math: University of Colorado Boulder

    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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