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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
    U

    University of Washington

    Machine Learning

    Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Applied Machine Learning, Feature Engineering, Machine Learning, Image Analysis, Unsupervised Learning, Predictive Modeling, Supervised Learning, Bayesian Statistics, Logistic Regression, Statistical Modeling, Artificial Intelligence, Data Preprocessing, Deep Learning, Data Mining, Decision Tree Learning, Computer Vision, Statistical Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    16K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    S

    SAS

    SAS Certification Practice Exams

    Skills you'll gain: Model Deployment, Logistic Regression, Probability & Statistics, Statistics, Model Evaluation, Classification And Regression Tree (CART)

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Finance & Quantitative Modeling for Analysts

    Skills you'll gain: Financial Reporting, Return On Investment, Financial Acumen, Financial Data, Capital Budgeting, Financial Statements, Business Modeling, Mathematical Modeling, Finance, Regression Analysis, Financial Modeling, Statistical Modeling, Income Statement, Risk Analysis, Financial Analysis, Spreadsheet Software, Capital Expenditure, Excel Formulas, Microsoft Excel, Corporate Finance

    4.5
    Rating, 4.5 out of 5 stars
    ·
    17K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Biostatistics in Public Health

    Skills you'll gain: Biostatistics, Statistical Hypothesis Testing, Logistic Regression, Regression Analysis, Sampling (Statistics), Statistical Methods, Statistical Visualization, Statistical Analysis, Epidemiology, Quantitative Research, Descriptive Statistics, Probability & Statistics, Statistical Inference, Probability Distribution, Public Health, Scientific Methods, Statistics, Statistical Modeling, Advanced Analytics, Predictive Modeling

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.4K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Business and Financial Modeling

    Skills you'll gain: Risk Management, Business Modeling, Mathematical Modeling, Data-Driven Decision-Making, Portfolio Management, Forecasting, Regression Analysis, Financial Modeling, Statistical Modeling, Risk Analysis, Predictive Modeling, Presentations, Spreadsheet Software, Microsoft PowerPoint, Investment Management, Financial Statements, Data Modeling, Quantitative Research, Business Analytics, Microsoft Excel

    4.5
    Rating, 4.5 out of 5 stars
    ·
    11K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Introduction to Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Unsupervised Learning, Supervised Learning, Classification Algorithms, Regression Analysis, Dimensionality Reduction, Statistical Methods, Data Preprocessing, Applied Machine Learning, Model Evaluation, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Access, Anomaly Detection, Logistic Regression, Scikit Learn (Machine Learning Library), Machine Learning, Machine Learning Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.3K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    W

    Wesleyan University

    Data Analysis and Interpretation

    Skills you'll gain: Regression Analysis, Data Storytelling, Logistic Regression, Classification And Regression Tree (CART), Statistical Hypothesis Testing, Descriptive Statistics, Statistical Analysis, Statistical Software, Correlation Analysis, Exploratory Data Analysis, Data Manipulation, Decision Tree Learning, Data Presentation, Data Management, Data Analysis, Data Visualization, Model Evaluation, Statistical Methods, Machine Learning, Statistics

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1.4K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    A

    Arizona State University

    Modern Statistics for Data-Driven Decision-Making

    Skills you'll gain: Statistical Methods, Bayesian Statistics, Statistics, Probability & Statistics, Data Storage Technologies, Analytical Skills, Exploratory Data Analysis, Data Storage, Database Software, Estimation, Data-Driven Decision-Making, Applied Machine Learning, Supervised Learning, Markov Model, Logistic Regression, Statistical Hypothesis Testing, Predictive Modeling, Simulations, Simulation and Simulation Software, Regression Testing

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Customer Analytics

    Skills you'll gain: Customer Analysis, Data-Driven Decision-Making, Descriptive Analytics, Marketing Analytics, Predictive Analytics, Customer Insights, Business Analytics, Analytics, Consumer Behaviour, Process Optimization, Data Collection, Regression Analysis, Market Research

    4.6
    Rating, 4.6 out of 5 stars
    ·
    12K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Machine Learning Foundations for Product Managers

    Skills you'll gain: Deep Learning, Model Evaluation, Unsupervised Learning, Classification And Regression Tree (CART), Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Convolutional Neural Networks, Decision Tree Learning, Computer Vision, Logistic Regression, Supervised Learning, Natural Language Processing, Random Forest Algorithm, Data Science, Predictive Analytics, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    721 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Mathematics for Machine Learning and Data Science

    Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Linear Algebra, Statistical Inference, A/B Testing, Statistical Analysis, Applied Mathematics, NumPy, Probability, Calculus, Dimensionality Reduction, Numerical Analysis, Machine Learning Algorithms, Data Preprocessing, Machine Learning, Machine Learning Methods

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.1K reviews

    Intermediate · Specialization · 1 - 3 Months

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

    Coursera

    Verify Fixes and Analyze Quality Metrics

    Skills you'll gain: Verification And Validation, Software Quality Assurance, Software Quality (SQA/SQC), Debugging, Maintainability, Regression Testing, Quality Assurance, Data Quality, Issue Tracking, Root Cause Analysis, Business Intelligence, Jira (Software)

    Beginner · Course · 1 - 4 Weeks

Searches related to regression

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

  • Machine Learning: University of Washington
  • SAS Certification Practice Exams: SAS
  • Finance & Quantitative Modeling for Analysts: University of Pennsylvania
  • Biostatistics in Public Health: Johns Hopkins University
  • Business and Financial Modeling: University of Pennsylvania
  • IBM Introduction to Machine Learning: IBM
  • Data Analysis and Interpretation: Wesleyan University
  • Modern Statistics for Data-Driven Decision-Making: Arizona State University
  • Customer Analytics: University of Pennsylvania
  • Machine Learning Foundations for Product Managers: Duke University

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