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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


  • E

    EDUCBA

    Python: Logistic Regression & Supervised ML

    Skills you'll gain: Model Evaluation, Feature Engineering, Supervised Learning, Exploratory Data Analysis, Classification Algorithms, Machine Learning Algorithms, Applied Machine Learning, Model Deployment, Decision Tree Learning, Logistic Regression, Data Analysis, Data Preprocessing, Pandas (Python Package), NumPy

    ★ 4.4 (17) · Mixed · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • 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, Machine Learning Methods, Customer Insights, Logistic Regression, Market Analysis, Unsupervised Learning, Decision Tree Learning, Artificial Neural Networks, Correlation Analysis

    Mixed · Course · 3 - 6 Months

    Category: Preview
    Preview
    Category: Build toward a degree
    Build toward a degree
  • S

    SAS

    Predictive Modeling with Logistic Regression using SAS

    Skills you'll gain: SAS (Software), Model Evaluation, Logistic Regression, Predictive Modeling, Statistical Modeling, Predictive Analytics, Statistical Software, Big Data, Regression Analysis, Data Management, Feature Engineering, Performance Analysis, Statistical Analysis, Data Preprocessing, Correlation Analysis

    ★ 4.6 (63) · Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    CertNexus

    Build Regression, Classification, and Clustering Models

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Model Training, Unsupervised Learning, Regression Analysis, Classification Algorithms, Machine Learning Algorithms, Model Optimization, Machine Learning Methods, Linear Algebra, Machine Learning, Predictive Modeling, Statistical Modeling, Supervised Learning, Performance Tuning

    ★ 4.4 (19) · Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • S

    Stanford University

    Introduction to Statistics

    Skills you'll gain: Descriptive Statistics, Statistics, Probability & Statistics, Statistical Methods, Sampling (Statistics), Statistical Analysis, Data Analysis, Statistical Hypothesis Testing, Regression Analysis, Statistical Inference, Probability, Exploratory Data Analysis, Analysis, Statistical Machine Learning, Statistical Visualization, Data Collection, Probability Distribution, Correlation Analysis

    ★ 4.6 (4.3K) · Beginner · Course · 1 - 3 Months

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • P

    Packt

    Regression Analysis for Statistics & Machine Learning in R

    Skills you'll gain: Data Cleansing, Data Wrangling, R Programming, Data Preprocessing, Applied Machine Learning, Statistical Analysis, R (Software), Model Evaluation, Statistical Machine Learning, Classification And Regression Tree (CART), Statistical Programming, Statistical Modeling, Logistic Regression, Machine Learning Methods, Random Forest Algorithm, Data Transformation, Statistical Methods, Model Training, Predictive Modeling, Machine Learning

    Intermediate · Course · 1 - 3 Months

    Category: Credit offered
    Credit offered
  • E

    EDUCBA

    Logistic Regression with SAS: Build & Evaluate Models

    Skills you'll gain: Logistic Regression, Feature Engineering, Model Evaluation, SAS (Software), Data Preprocessing, Predictive Modeling, Classification Algorithms, Statistical Modeling, Regression Analysis, Predictive Analytics, Data Wrangling, Statistical Methods, Data Transformation, Statistical Analysis, Model Optimization, Graphing

    Mixed · Course · 1 - 4 Weeks

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • U

    University of Virginia

    Marketing Analytics

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

    ★ 4.7 (6.4K) · Beginner · Course · 1 - 3 Months

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • 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 (13) · Intermediate · Guided Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • 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 (42) · Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • M

    MathWorks

    Predictive Modeling and Machine Learning with MATLAB

    Skills you'll gain: Supervised Learning, Model Evaluation, Classification Algorithms, Model Training, Machine Learning Methods, Applied Machine Learning, Matlab, Statistical Machine Learning, Regression Analysis, Model Optimization, Data Preprocessing, Predictive Modeling, Machine Learning, Feature Engineering, Data Validation

    ★ 4.8 (119) · Beginner · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • 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 (144) · Mixed · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
1…789…58

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

  • Python: Logistic Regression & Supervised ML: EDUCBA
  • Predictive Analytics and Forecasting: O.P. Jindal Global University
  • Predictive Modeling with Logistic Regression using SAS : SAS
  • Build Regression, Classification, and Clustering Models: CertNexus
  • Introduction to Statistics: Stanford University
  • Regression Analysis for Statistics & Machine Learning in R: Packt
  • Logistic Regression with SAS: Build & Evaluate Models: EDUCBA
  • Marketing Analytics: University of Virginia
  • Data Analysis in R: Predictive Analysis with Regression: Coursera
  • Prediction Models with Sports Data: University of Michigan

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