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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


  • Status: Free Trial
    Free Trial
    W

    Wesleyan University

    Regression Modeling in Practice

    Skills you'll gain: Regression Analysis, Logistic Regression, Statistical Methods, Statistical Analysis, Statistical Modeling, Data Analysis, Correlation Analysis, Analysis, SAS (Software), Scatter Plots, Predictive Modeling, Model Evaluation, Data Manipulation, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    274 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
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    E

    EDUCBA

    Logistic Regression Fundamentals: Analyze & Predict

    Skills you'll gain: Model Evaluation, Logistic Regression, SAS (Software), Predictive Modeling, Regression Analysis, Predictive Analytics, Feature Engineering, Analytics, Statistical Methods, Data Transformation, Statistical Modeling, Statistical Analysis, Business Analytics, Estimation, Probability

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
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    EDUCBA

    Predictive Modeling with Python: Apply & Evaluate

    Skills you'll gain: Predictive Modeling, Model Evaluation, Data Preprocessing, Predictive Analytics, Logistic Regression, Risk Modeling, Statistical Modeling, Feature Engineering, Regression Analysis, Correlation Analysis, Classification Algorithms, Data Manipulation, Scikit Learn (Machine Learning Library), Data Transformation, Pandas (Python Package), NumPy

    Mixed · Course · 1 - 3 Months

  • P

    Packt

    R Programming for Statistics and Data Science

    Skills you'll gain: R Programming, Ggplot2, Data Visualization, Data Manipulation, Exploratory Data Analysis, Statistical Programming, Data Science, Tidyverse (R Package), Statistical Modeling, Data Analysis, Regression Analysis, Data Structures, Statistical Analysis, Descriptive Statistics, Programming Principles, Data Transformation, Probability & Statistics

    4.4
    Rating, 4.4 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Supervised Machine Learning: Regression

    Skills you'll gain: Supervised Learning, Regression Analysis, Applied Machine Learning, Predictive Modeling, Machine Learning, Logistic Regression, Scikit Learn (Machine Learning Library), Model Evaluation, Feature Engineering, Statistical Analysis, Classification Algorithms, Pandas (Python Package)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    821 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Generalized Linear Models and Nonparametric Regression

    Skills you'll gain: Statistical Modeling, R Programming, Data Analysis, Data Ethics, Statistical Methods, Regression Analysis, Predictive Modeling, Mathematical Modeling, Machine Learning, Logistic Regression, Statistical Inference, Model Evaluation, Probability Distribution, Linear Algebra, Calculus

    Build toward a degree

    4.3
    Rating, 4.3 out of 5 stars
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    21 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Logistic Regression and Prediction for Health Data

    Skills you'll gain: Logistic Regression, Model Evaluation, Statistical Inference, Predictive Analytics, R Programming, Statistical Modeling, Statistical Methods, Biostatistics, Regression Analysis, Statistical Analysis, Statistics, Statistical Hypothesis Testing, Data Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Essential Linear Algebra for Data Science

    Skills you'll gain: Linear Algebra, Applied Mathematics, Data Science, Data Analysis, Statistical Methods, Algebra, Numerical Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    187 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
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    E

    EDUCBA

    Logistic Regression with R: Build & Predict

    Skills you'll gain: Logistic Regression, Model Evaluation, Data Preprocessing, Predictive Modeling, R Programming, Feature Engineering, Statistical Modeling, Risk Modeling, Classification And Regression Tree (CART), Applied Machine Learning, Regression Analysis, Predictive Analytics, Advanced Analytics, Machine Learning Methods, Data Manipulation, Supervised Learning, Performance Measurement, Credit Risk, Dimensionality Reduction

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California, Irvine

    Predictive Modeling, Model Fitting, and Regression Analysis

    Skills you'll gain: Predictive Modeling, Predictive Analytics, Regression Analysis, Decision Tree Learning, Statistical Modeling, Supervised Learning, Data Modeling, Data Analysis, Logistic Regression, Descriptive Analytics, Forecasting, Machine Learning, Model Evaluation, Classification Algorithms, Unsupervised Learning, Statistical Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    73 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Building Statistical Models in R: Linear Regression

    Skills you'll gain: Exploratory Data Analysis, Statistical Modeling, Regression Analysis, Data Visualization, Model Evaluation, Data Analysis, Statistical Methods, Scatter Plots, R Programming, Statistical Analysis, Plot (Graphics), R (Software), Ggplot2

    4.7
    Rating, 4.7 out of 5 stars
    ·
    20 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview
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    S

    Simplilearn

    Linear Algebra for ML and Analytics Training

    Skills you'll gain: Mathematical Modeling, Linear Algebra, Dimensionality Reduction, Applied Mathematics, Data Analysis, Feature Engineering, Applied Machine Learning, Analytics, Data Science, Unsupervised Learning

    Beginner · Course · 1 - 4 Weeks

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

  • Regression Modeling in Practice: Wesleyan University
  • Logistic Regression Fundamentals: Analyze & Predict: EDUCBA
  • Predictive Modeling with Python: Apply & Evaluate: EDUCBA
  • R Programming for Statistics and Data Science: Packt
  • Supervised Machine Learning: Regression: IBM
  • Generalized Linear Models and Nonparametric Regression: University of Colorado Boulder
  • Logistic Regression and Prediction for Health Data: University of Michigan
  • Essential Linear Algebra for Data Science: University of Colorado Boulder
  • Logistic Regression with R: Build & Predict: EDUCBA
  • Predictive Modeling, Model Fitting, and Regression Analysis: University of California, Irvine

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)

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