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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


  • U

    University of Minnesota

    Optimization for Decision Making

    Skills you'll gain: Operations Research, Mathematical Modeling, Business Modeling, Business Analytics, Analytics, Process Optimization, Data-Driven Decision-Making, Model Optimization, Microsoft Excel, Decision Making, Excel Formulas, Spreadsheet Software, Graphing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    90 reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Colorado System

    Regression Modeling for Marketers

    Skills you'll gain: Statistical Software, Marketing Analytics, Model Evaluation, Regression Analysis, Data-Driven Marketing, Statistical Modeling, Data Visualization, Statistical Methods, Statistical Analysis, Strategic Marketing, Market Analysis, Marketing, Predictive Analytics, Predictive Modeling, Logistic Regression, Customer Insights, Target Market, Statistical Hypothesis Testing, Variance Analysis

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Data Analysis in R: Predictive Analysis with Regression

    Skills you'll gain: Ggplot2, Model Evaluation, Plot (Graphics), Regression Analysis, Predictive Analytics, Predictive Modeling, Statistical Visualization, Data-Driven Decision-Making, Statistical Modeling, R Programming, Descriptive Statistics, R (Software), Exploratory Data Analysis, Descriptive Analytics, Statistical Analysis, Data Analysis

    4.2
    Rating, 4.2 out of 5 stars
    ·
    13 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • J

    Johns Hopkins University

    Advanced Linear Models for Data Science 2: Statistical Linear Models

    Skills you'll gain: Regression Analysis, Linear Algebra, R Programming, Data Science, Probability Distribution, Statistical Modeling, Statistical Methods, Probability & Statistics, Applied Mathematics, Statistical Analysis, Statistics, Statistical Inference, Probability, Model Evaluation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    108 reviews

    Advanced · Course · 1 - 4 Weeks

  • S

    SAS

    Regression Modeling Fundamentals

    Skills you'll gain: Logistic Regression, Predictive Modeling, Predictive Analytics, SAS (Software), Statistical Modeling, Regression Analysis, Statistical Programming, Model Evaluation, Statistical Software, Model Training, Data Validation, Statistical Analysis, Model Deployment, Statistical Methods, Correlation Analysis, Statistical Hypothesis Testing, Probability

    4.7
    Rating, 4.7 out of 5 stars
    ·
    53 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of Michigan

    Fitting Statistical Models to Data with Python

    Skills you'll gain: Statistical Modeling, Statistical Methods, Bayesian Statistics, Statistical Inference, Statistical Software, Model Evaluation, Statistical Analysis, Statistical Programming, Regression Analysis, Predictive Modeling, Advanced Analytics, Jupyter, Logistic Regression, Exploratory Data Analysis, Correlation Analysis, Dependency Analysis, Python Programming, Data Visualization Software

    4.4
    Rating, 4.4 out of 5 stars
    ·
    716 reviews

    Intermediate · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Predictive Modeling with Python: Apply & Evaluate

    Skills you'll gain: Predictive Modeling, Model Evaluation, Data Preprocessing, Predictive Analytics, Logistic Regression, Risk Modeling, Model Training, Statistical Modeling, Feature Engineering, Regression Analysis, Correlation Analysis, Classification Algorithms, Data Cleansing, Model Optimization

    Mixed · Course · 1 - 3 Months

  • J

    Johns Hopkins University

    Calculus through Data & Modeling: Applying Differentiation

    Skills you'll gain: Applied Mathematics, Model Optimization, Estimation, Calculus, Cost Estimation, Mathematical Modeling, Derivatives

    4.7
    Rating, 4.7 out of 5 stars
    ·
    60 reviews

    Intermediate · Course · 1 - 3 Months

  • D

    DeepLearning.AI

    Linear Algebra for Machine Learning and Data Science

    Skills you'll gain: Linear Algebra, Dimensionality Reduction, Mathematical Software, Machine Learning Methods, Data Transformation, Data Manipulation, Applied Mathematics, Machine Learning, Python Programming, Algebra, Image Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.3K reviews

    Intermediate · Course · 1 - 4 Weeks

  • B

    Birla Institute of Technology & Science, Pilani

    Linear Algebra for Machine Learning & AI

    Skills you'll gain: Linear Algebra, Numerical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Applied Mathematics, AI Enablement, Mathematics and Mathematical Modeling, Data Analysis, Machine Learning, Dimensionality Reduction, Model Optimization, Artificial Neural Networks

    Build toward a degree

    Beginner · Course · 1 - 3 Months

  • M

    Macquarie University

    Excel Regression Models for Business Forecasting

    Skills you'll gain: Forecasting, Regression Analysis, Time Series Analysis and Forecasting, Predictive Modeling, Model Evaluation, Microsoft Excel, Statistical Modeling, Statistical Methods, Correlation Analysis, Statistical Analysis, Data Visualization, Data Visualization Software

    4.9
    Rating, 4.9 out of 5 stars
    ·
    112 reviews

    Intermediate · Course · 1 - 3 Months

  • E

    EDUCBA

    SPSS: Apply & Interpret Logistic Regression Models

    Skills you'll gain: Logistic Regression, Model Evaluation, SPSS (Software), Predictive Analytics, Applied Machine Learning

    5
    Rating, 5 out of 5 stars
    ·
    13 reviews

    Mixed · Course · 1 - 4 Weeks

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

  • Optimization for Decision Making: University of Minnesota
  • Regression Modeling for Marketers: University of Colorado System
  • Data Analysis in R: Predictive Analysis with Regression: Coursera
  • Advanced Linear Models for Data Science 2: Statistical Linear Models: Johns Hopkins University
  • Regression Modeling Fundamentals: SAS
  • Fitting Statistical Models to Data with Python: University of Michigan
  • Predictive Modeling with Python: Apply & Evaluate: EDUCBA
  • Calculus through Data & Modeling: Applying Differentiation: Johns Hopkins University
  • Linear Algebra for Machine Learning and Data Science: DeepLearning.AI
  • Linear Algebra for Machine Learning & AI: Birla Institute of Technology & Science, Pilani

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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