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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

    • 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, Data Manipulation, Decision Tree Learning, Data Management, Statistical Machine Learning, Statistical Programming, Data Analysis, Random Forest Algorithm, Research Reports, Statistical Methods, Statistical Modeling

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

      Beginner · Specialization · 3 - 6 Months

    • J

      Johns Hopkins University

      Practical Machine Learning

      Skills you'll gain: Predictive Modeling, Machine Learning Algorithms, Statistical Machine Learning, Feature Engineering, Supervised Learning, Classification And Regression Tree (CART), Predictive Analytics, Applied Machine Learning, R Programming, Machine Learning, Random Forest Algorithm, Regression Analysis, Data Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      3.3K reviews

      Mixed · Course · 1 - 4 Weeks

    • É

      École Polytechnique Fédérale de Lausanne

      Digital Signal Processing

      Skills you'll gain: Digital Communications, Image Analysis, Electrical Engineering, Electrical and Computer Engineering, Embedded Systems, Electronic Systems, Engineering Analysis, Programming Principles, Computer Engineering, Numerical Analysis, Advanced Mathematics, Algorithms, Linear Algebra, Systems Of Measurement, Mathematical Modeling, Calculus, Basic Electrical Systems, Python Programming, Applied Mathematics, Time Series Analysis and Forecasting

      4.5
      Rating, 4.5 out of 5 stars
      ·
      777 reviews

      Intermediate · Specialization · 3 - 6 Months

    • I

      IBM

      Statistics for Data Science with Python

      Skills you'll gain: Descriptive Statistics, Statistical Analysis, Data Analysis, Probability Distribution, Statistics, Data Visualization, Statistical Hypothesis Testing, Regression Analysis, Data Science, Matplotlib, Exploratory Data Analysis, Statistical Inference, Probability, Correlation Analysis, Pandas (Python Package), Jupyter

      4.5
      Rating, 4.5 out of 5 stars
      ·
      432 reviews

      Mixed · Course · 1 - 3 Months

    • N

      Northwestern University

      Modern Robotics, Course 1: Foundations of Robot Motion

      Skills you'll gain: Engineering, Mechanics, Mathematical Modeling, Simulation and Simulation Software, Engineering Analysis, Matlab, Linear Algebra, Applied Mathematics, Physics, System Configuration, Angular

      4.7
      Rating, 4.7 out of 5 stars
      ·
      985 reviews

      Intermediate · Course · 1 - 3 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, Data Analysis, Statistical Methods, Probability & Statistics, Derivatives, Mathematical Theory & Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      432 reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of Michigan

      The Finite Element Method for Problems in Physics

      Skills you'll gain: Finite Element Methods, Differential Equations, Engineering Analysis, Numerical Analysis, Mathematical Modeling, Advanced Mathematics, Linear Algebra, C++ (Programming Language), Object Oriented Programming (OOP), Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      551 reviews

      Intermediate · Course · 3 - 6 Months

    • S

      SAS

      Regression Modeling Fundamentals

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

      4.7
      Rating, 4.7 out of 5 stars
      ·
      53 reviews

      Intermediate · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Principles of fMRI 1

      Skills you'll gain: Radiology, Psychology, Data Analysis, Research Design, Image Analysis, Statistical Analysis, Statistical Modeling, Scientific Methods, Data Processing, Data Collection, Probability & Statistics, Research

      4.6
      Rating, 4.6 out of 5 stars
      ·
      837 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      Build a free website with WordPress

      Skills you'll gain: WordPress, Content Management Systems, Web Content, Web Design and Development, Information Architecture

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.8K reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      L

      Ludwig-Maximilians-Universität München (LMU)

      Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python

      Skills you'll gain: Finite Element Methods, Numerical Analysis, Engineering Analysis, Jupyter, Differential Equations, Applied Mathematics, NumPy, Mathematical Modeling, Computational Thinking, Python Programming, Calculus, Mechanics, Vibrations, Linear Algebra, Simulations

      4.8
      Rating, 4.8 out of 5 stars
      ·
      386 reviews

      Intermediate · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Precalculus through Data and Modelling

      Skills you'll gain: Data Analysis, Applied Mathematics, Mathematical Modeling, Graphing, Trigonometry, Analytical Skills, R Programming, Data Modeling, Statistics, Algebra, Correlation Analysis, Regression Analysis, Systems Of Measurement, Geometry

      4.7
      Rating, 4.7 out of 5 stars
      ·
      302 reviews

      Beginner · Specialization · 3 - 6 Months

    Linear Regression learners also search

    Regression
    Linear Programming
    Regression Analysis
    Linear Algebra
    Regression Models
    Logistic Regression
    Predictive Modeling
    Statistical Modeling
    1…151617…73

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

    • Data Analysis and Interpretation: Wesleyan University
    • Practical Machine Learning: Johns Hopkins University
    • Digital Signal Processing: École Polytechnique Fédérale de Lausanne
    • Statistics for Data Science with Python: IBM
    • Modern Robotics, Course 1: Foundations of Robot Motion: Northwestern University
    • Expressway to Data Science: Essential Math: University of Colorado Boulder
    • The Finite Element Method for Problems in Physics: University of Michigan
    • Regression Modeling Fundamentals: SAS
    • Principles of fMRI 1: Johns Hopkins University
    • Build a free website with WordPress: Coursera Project Network

    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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