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  • Regression

Regression Courses

Regression courses can help you learn statistical modeling, data analysis techniques, and how to interpret relationships between variables. You can build skills in linear regression, logistic regression, and understanding residuals, along with evaluating model performance. Many courses introduce tools like R, Python, and Excel, that support conducting analyses and visualizing data, allowing you to apply these skills in practical work such as predicting outcomes and making informed decisions based on data.

Popular Regression Courses and Certifications


  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Advanced Learning Algorithms

    Skills you'll gain: Model Training, Machine Learning Algorithms, Transfer Learning, Machine Learning, Applied Machine Learning, Data Ethics, Decision Tree Learning, Model Evaluation, Tensorflow, Responsible AI, Supervised Learning, Deep Learning, Classification Algorithms, Random Forest Algorithm, Model Optimization, Artificial Neural Networks, Logistic Regression, Regression Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    8.7K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    O

    O.P. Jindal Global University

    Predictive Analytics and Forecasting

    Skills you'll gain: Data Mining, Predictive Modeling, Predictive Analytics, Advanced Analytics, Business Analytics, Dimensionality Reduction, Forecasting, Data-Driven Decision-Making, Customer Analysis, Regression Analysis, Demand Planning, Classification Algorithms, Marketing Analytics, Customer Insights, Logistic Regression, Market Analysis, Unsupervised Learning, Decision Tree Learning, Artificial Neural Networks, Correlation Analysis

    Build toward a degree

    Mixed · Course · 3 - 6 Months

  • 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, Statistical Software, R Programming, Statistical Analysis, Plot (Graphics), R (Software), Ggplot2, Statistical Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    20 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • 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

  • Status: Free Trial
    Free Trial
    S

    SAS

    Predictive Modeling with Logistic Regression using SAS

    Skills you'll gain: Predictive Modeling, SAS (Software), Logistic Regression, Model Evaluation, Predictive Analytics, Statistical Modeling, Model Training, Statistical Software, Regression Analysis, Business Analytics, Supervised Learning, Statistical Analysis, Data Preprocessing, Statistical Methods, Feature Engineering, Sampling (Statistics)

    4.6
    Rating, 4.6 out of 5 stars
    ·
    63 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    E

    EDUCBA

    Master Time Series Forecasting with R: Analyze & Predict

    Skills you'll gain: Time Series Analysis and Forecasting, Financial Forecasting, Forecasting, Predictive Modeling, R Programming, Predictive Analytics, Regression Analysis, Business Analytics, Trend Analysis, Statistical Analysis, Statistical Modeling, Statistical Methods, Correlation Analysis, Model Evaluation

    5
    Rating, 5 out of 5 stars
    ·
    21 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Prediction Models with Sports Data

    Skills you'll gain: Logistic Regression, Forecasting, Data Processing, Predictive Analytics, Predictive Modeling, Statistical Modeling, Data Analysis, Market Data, Analytics, Regression Analysis, Data Preprocessing, Model Evaluation, Python Programming, Probability & Statistics, Data Ethics, Probability, Ethical Standards And Conduct

    4.5
    Rating, 4.5 out of 5 stars
    ·
    42 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Virginia

    Marketing Analytics

    Skills you'll gain: Marketing Analytics, Data-Driven Marketing, Marketing Effectiveness, Marketing Strategies, Regression Analysis, Data-Driven Decision-Making, Branding, Brand Management, Resource Allocation, Customer Analysis, Customer Insights, Predictive Analytics, Brand Strategy, Statistical Analysis, A/B Testing, Consumer Behaviour, Return On Investment, Statistical Methods

    4.7
    Rating, 4.7 out of 5 stars
    ·
    6.5K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Introduction to Predictive Modeling

    Skills you'll gain: Time Series Analysis and Forecasting, Model Evaluation, Predictive Modeling, Data Preprocessing, Model Training, Regression Analysis, Microsoft Excel, Forecasting, Excel Formulas, Pivot Tables And Charts, Data Manipulation, Data Transformation, Feature Engineering, Statistical Modeling, Spreadsheet Software, Predictive Analytics, Model Optimization, Data Cleansing, Statistical Methods

    4.8
    Rating, 4.8 out of 5 stars
    ·
    145 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    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, Model Evaluation, Statistical Hypothesis Testing, Integral Calculus

    4.6
    Rating, 4.6 out of 5 stars
    ·
    108 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Modeling Climate Anomalies with Statistical Analysis

    Skills you'll gain: Statistical Analysis, Statistical Methods, Matplotlib, Regression Analysis, Statistical Modeling, Data Science, Data Analysis, Data Visualization, Pandas (Python Package), Anomaly Detection, Plot (Graphics), Data Visualization Software, Statistical Visualization, Data Integration, Data Collection, Data Access, Data Manipulation, Application Programming Interface (API)

    Build toward a degree

    4
    Rating, 4 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Statistical and Predictive Modeling for Finance

    Skills you'll gain: Risk Modeling, Descriptive Statistics, Financial Modeling, Regression Analysis, Statistical Modeling, Financial Analysis, Decision Tree Learning, Credit Risk, Lending and Underwriting, Predictive Modeling, Predictive Analytics, Commercial Lending, Portfolio Management, Statistics, Portfolio Risk, Statistical Analysis, Statistical Methods, Performance Metric, Model Evaluation, Supervised Learning

    Intermediate · Course · 1 - 3 Months

1…789…59

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

  • Advanced Learning Algorithms: DeepLearning.AI
  • Predictive Analytics and Forecasting: O.P. Jindal Global University
  • Building Statistical Models in R: Linear Regression: Coursera
  • Data Analysis in R: Predictive Analysis with Regression: Coursera
  • Predictive Modeling with Logistic Regression using SAS : SAS
  • Master Time Series Forecasting with R: Analyze & Predict: EDUCBA
  • Prediction Models with Sports Data: University of Michigan
  • Marketing Analytics: University of Virginia
  • Introduction to Predictive Modeling: University of Minnesota
  • Advanced Linear Models for Data Science 2: Statistical Linear Models: Johns Hopkins University

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