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  • Linear Regression

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


  • I

    Imperial College London

    Mathematics for Machine Learning: Linear Algebra

    Skills you'll gain: Linear Algebra, Applied Mathematics, Jupyter, Data Science, Data Manipulation, Dimensionality Reduction, Data Transformation, Machine Learning, Computational Thinking

    4.6 stars, 13K reviews, Beginner, Course, 1 - 3 Months

    ★ 4.6 (13K) · Beginner · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • S

    Sage Publications

    Applied Regression Techniques and Diagnostics in Stata

    Skills you'll gain: Logistic Regression, Stata, STATA (Software), Statistical Analysis, Statistical Modeling, Regression Analysis, Statistical Methods, Statistical Programming, Statistical Software, Analysis, Statistical Inference, Time Series Analysis and Forecasting, Model Evaluation, Statistical Hypothesis Testing, Data Analysis, Structural Analysis, Plot (Graphics)

    Intermediate · Course · 1 - 3 Months

    Category: New
    New
    Status: Free trial
    Free trial
  • U

    University of Colorado Boulder

    BiteSize Stats: Correlation and Regression Analysis

    Skills you'll gain: Regression Analysis, Statistical Methods, Correlation Analysis, Statistical Hypothesis Testing, Statistical Inference, Statistical Modeling, Statistical Analysis, Probability & Statistics, Statistics, Predictive Modeling, Analysis, Predictive Analytics, Exploratory Data Analysis, Scatter Plots, Model Evaluation, Estimation, Data Literacy, Sampling (Statistics), Anomaly Detection

    Mixed · Course · 1 - 3 Months

    Category: New
    New
    Status: Free trial
    Free trial
  • J

    Johns Hopkins University

    Advanced Statistics for Data Science

    Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Regression Analysis, Bayesian Statistics, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistical Methods, Statistical Modeling, Linear Algebra, Probability, Probability Distribution, R Programming, Biostatistics, Data Analysis, Data Science, Statistics, Mathematical Modeling, Data Modeling, Applied Mathematics

    4.4 stars, 800 reviews, Advanced, Specialization, 3 - 6 Months

    ★ 4.4 (800) · Advanced · Specialization · 3 - 6 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 Methods, Model Training, Statistical Machine Learning, Machine Learning, Machine Learning Algorithms, Statistical Modeling, Model Evaluation, Data Preprocessing, Feature Engineering, Model Optimization, Statistical Analysis, Statistical Methods, Classification Algorithms

    4.7 stars, 846 reviews, Intermediate, Course, 1 - 3 Months

    ★ 4.7 (846) · Intermediate · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • J

    Johns Hopkins University

    Linear Algebra from Elementary to Advanced

    Skills you'll gain: Linear Algebra, Algebra, Applied Mathematics, Advanced Mathematics, Artificial Intelligence and Machine Learning (AI/ML), Engineering Analysis, Mathematical Theory & Analysis, Geometry, Applied Machine Learning, Markov Model

    4.7 stars, 241 reviews, Beginner, Specialization, 3 - 6 Months

    ★ 4.7 (241) · Beginner · Specialization · 3 - 6 Months

    Status: Free trial
    Free trial
  • I

    Imperial College London

    Mathematics for Machine Learning

    Skills you'll gain: Dimensionality Reduction, Linear Algebra, Regression Analysis, NumPy, Calculus, Unsupervised Learning, Applied Mathematics, Statistical Methods, Descriptive Statistics, Model Optimization, Mathematical Software, Machine Learning Methods, Applied Machine Learning, Jupyter, Statistics, Numerical Analysis, Machine Learning Algorithms, Geometry, Artificial Neural Networks, Data Science

    4.6 stars, 15K reviews, Beginner, Specialization, 3 - 6 Months

    ★ 4.6 (15K) · Beginner · Specialization · 3 - 6 Months

    Status: Top AI program
    Top AI program
    Status: Free trial
    Free trial
  • I

    Imperial College London

    Linear Regression in R for Public Health

    Skills you'll gain: Correlation Analysis, Regression Analysis, Data Analysis, R Programming, Descriptive Statistics, Descriptive Analytics, Statistical Modeling, R (Software), Model Evaluation, Statistical Analysis, Logistic Regression, Statistical Software, Predictive Modeling, Data Import/Export

    4.8 stars, 533 reviews, Intermediate, Course, 1 - 4 Weeks

    ★ 4.8 (533) · Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • U

    University of Pennsylvania

    Machine Learning Essentials

    Skills you'll gain: Statistical Machine Learning, Model Evaluation, Statistical Methods, Logistic Regression, Python Programming, Statistical Modeling, Supervised Learning, Machine Learning Methods, Machine Learning, Classification Algorithms, Regression Analysis, Statistical Analysis, Applied Machine Learning, Predictive Modeling, Probability & Statistics, Bayesian Statistics, Dimensionality Reduction, Statistical Hypothesis Testing, Model Optimization

    5 stars, 6 reviews, Intermediate, Course, 1 - 4 Weeks

    ★ 5 (6) · Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • D

    DeepLearning.AI

    Supervised Machine Learning: Regression and Classification

    Skills you'll gain: Supervised Learning, Applied Machine Learning, Jupyter, Scikit Learn (Machine Learning Library), Machine Learning, Model Training, NumPy, Machine Learning Algorithms, Predictive Modeling, Classification Algorithms, Feature Engineering, Artificial Intelligence, Model Evaluation, Data Preprocessing, Python Programming, Logistic Regression, Model Optimization, Regression Analysis, Algorithms

    4.9 stars, 33K reviews, Beginner, Course, 1 - 4 Weeks

    ★ 4.9 (33K) · Beginner · Course · 1 - 4 Weeks

    Status: Top AI program
    Top AI program
    Status: Free trial
    Free trial
  • U

    University of Colorado Boulder

    Modern Regression Analysis in R

    Skills you'll gain: Statistical Inference, Statistical Modeling, Regression Analysis, Data Ethics, Statistical Methods, Statistical Hypothesis Testing, Data Science, R Programming, Statistical Programming, Statistical Analysis, Predictive Modeling, Predictive Analytics, Probability & Statistics, Correlation Analysis, Model Evaluation, Plot (Graphics)

    4.3 stars, 40 reviews, Intermediate, Course, 1 - 3 Months

    ★ 4.3 (40) · Intermediate · Course · 1 - 3 Months

    Status: Free trial
    Free trial
    Category: Build toward a degree
    Build toward a degree
  • 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, Supervised Learning, Analytics, Logistic Regression, Descriptive Analytics, Model Training, Machine Learning, Model Evaluation, Classification Algorithms, Unsupervised Learning

    4.5 stars, 76 reviews, Intermediate, Course, 1 - 4 Weeks

    ★ 4.5 (76) · Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
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In summary, here are 10 of our most popular linear regression courses

  • Mathematics for Machine Learning: Linear Algebra: Imperial College London
  • Applied Regression Techniques and Diagnostics in Stata: Sage Publications
  • BiteSize Stats: Correlation and Regression Analysis: University of Colorado Boulder
  • Advanced Statistics for Data Science: Johns Hopkins University
  • Supervised Machine Learning: Regression: IBM
  • Linear Algebra from Elementary to Advanced: Johns Hopkins University
  • Mathematics for Machine Learning: Imperial College London
  • Linear Regression in R for Public Health: Imperial College London
  • Machine Learning Essentials: University of Pennsylvania
  • Supervised Machine Learning: Regression and Classification: DeepLearning.AI

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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