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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


  • Status: Free Trial
    Free Trial
    I

    Illinois Tech

    Linear Regression

    Skills you'll gain: Statistical Inference, Regression Analysis, Statistical Programming, R Programming, Statistical Methods, Statistical Analysis, Statistical Modeling, R (Software), Statistical Software, Data Science, Data Analysis, Probability & Statistics, Linear Algebra

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    31 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Scikit-Learn to Solve Regression Machine Learning Problems

    Skills you'll gain: Scikit Learn (Machine Learning Library), Predictive Modeling, Regression Analysis, Machine Learning Algorithms, Applied Machine Learning, Predictive Analytics, Python Programming, Classification Algorithms, Model Training, Machine Learning, Data Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    11 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Linear Regression with Python

    Skills you'll gain: Model Training, Regression Analysis, NumPy, Machine Learning Algorithms, Machine Learning, Model Optimization, Deep Learning, Data Science, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    440 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Simple Linear Regression for the Absolute Beginner

    Skills you'll gain: Scientific Visualization, Data Preprocessing, Regression Analysis, Scikit Learn (Machine Learning Library), Feature Engineering, Data Cleansing, Predictive Modeling, Data Analysis, Statistical Modeling, Model Training, Statistical Methods, Supervised Learning, Model Evaluation, Machine Learning, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    67 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Logistic Regression with NumPy and Python

    Skills you'll gain: Matplotlib, Seaborn, Exploratory Data Analysis, Logistic Regression, NumPy, Machine Learning Methods, Jupyter, Scikit Learn (Machine Learning Library), Data Science, Machine Learning, Machine Learning Algorithms, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    396 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free
    Free
    C

    Coursera

    PyCaret: Anatomy of Regression

    Skills you'll gain: Model Optimization, Regression Analysis, Model Training, Statistical Modeling, Predictive Modeling, Fine-tuning, Scientific Visualization, Model Evaluation, Data Preprocessing, Applied Machine Learning, Data Processing, Exploratory Data Analysis, Python Programming, Machine Learning, Development Environment

    4.5
    Rating, 4.5 out of 5 stars
    ·
    14 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Solving ML Regression Problems with AWS AutoGluon

    Skills you'll gain: AWS SageMaker, Model Evaluation, Applied Machine Learning, Model Training, Predictive Modeling, Machine Learning, Machine Learning Algorithms, Amazon Web Services, Model Optimization, Regression Analysis, Supervised Learning, Data Analysis

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Predict Ad Clicks Using Logistic Regression and XG-Boost

    Skills you'll gain: Model Evaluation, Scikit Learn (Machine Learning Library), Data Visualization, Feature Engineering, Data Preprocessing, Model Training, Customer Analysis, Predictive Modeling, Scientific Visualization, Predictive Analytics, Marketing Analytics, Applied Machine Learning, Online Advertising, Data-Driven Marketing, Logistic Regression, Data Cleansing, Data Manipulation, Machine Learning, Python Programming, Deep Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    10 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Breast Cancer Prediction Using Machine Learning

    Skills you'll gain: Data Cleansing, Logistic Regression, Data Preprocessing, Applied Machine Learning, Data Import/Export, Data Mining, Python Programming, Data Access, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning Methods, Classification Algorithms, Machine Learning, Supervised Learning

    4.2
    Rating, 4.2 out of 5 stars
    ·
    57 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    ML Parameters Optimization: GridSearch, Bayesian, Random

    Skills you'll gain: Model Optimization, Model Evaluation, Scikit Learn (Machine Learning Library), Regression Analysis, Fine-tuning, Applied Machine Learning, Machine Learning, Data Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    8 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of Pittsburgh

    Bayesian Regression and Model Selection

    Skills you'll gain: Statistical Modeling, Bayesian Statistics, Logistic Regression, Regression Analysis, Predictive Modeling, Mathematical Modeling, Model Evaluation, Statistical Methods, Statistical Machine Learning, Markov Model, Data-Driven Decision-Making, Statistical Inference, Predictive Analytics, Statistical Analysis, Sampling (Statistics), Probability Distribution, Machine Learning Algorithms, Computational Thinking

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    The STATA OMNIBUS: Regression and Modelling with STATA

    Skills you'll gain: Stata, STATA (Software), Regression Analysis, Statistical Modeling, Statistical Methods, Statistical Analysis, Statistical Software, Statistical Visualization, Data Visualization, Data Manipulation, Logistic Regression, Simulations, Predictive Modeling, Descriptive Statistics, Data Transformation, Graphing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    6 reviews

    Beginner · Course · 3 - 6 Months

1234…59

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

  • Linear Regression: Illinois Tech
  • Scikit-Learn to Solve Regression Machine Learning Problems: Coursera
  • Linear Regression with Python: Coursera
  • Simple Linear Regression for the Absolute Beginner: Coursera
  • Logistic Regression with NumPy and Python: Coursera
  • PyCaret: Anatomy of Regression: Coursera
  • Solving ML Regression Problems with AWS AutoGluon: Coursera
  • Predict Ad Clicks Using Logistic Regression and XG-Boost: Coursera
  • Breast Cancer Prediction Using Machine Learning: Coursera
  • ML Parameters Optimization: GridSearch, Bayesian, Random: Coursera

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