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  • Logistic Regression

Logistic Regression Courses

Logistic regression courses can help you learn statistical modeling, hypothesis testing, and the interpretation of coefficients. You can build skills in evaluating model performance, understanding odds ratios, and applying techniques like regularization to improve accuracy. Many courses introduce tools such as R, Python, and specialized libraries like scikit-learn, showing how these skills are used to analyze binary outcomes in various fields, including healthcare, finance, and marketing.

Popular Logistic Regression Courses and Certifications


  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Multiple Regression Analysis in Public Health

    Skills you'll gain: Biostatistics, Regression Analysis, Logistic Regression, Statistical Methods, Public Health, Statistical Analysis, Statistical Inference, Statistical Modeling, Predictive Modeling, Quantitative Research, Data Analysis, Statistical Hypothesis Testing, Model Evaluation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    331 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    E

    EDUCBA

    Predictive Analytics with SPSS: Analyze & Apply

    Skills you'll gain: SPSS, Correlation Analysis, SPSS (Software), Logistic Regression, Regression Analysis, Predictive Modeling, Predictive Analytics, Statistics, Descriptive Statistics, Statistical Software, Statistical Methods, Statistical Modeling, Advanced Analytics, Case Studies, Statistical Analysis, Probability & Statistics, Data Import/Export, Data Manipulation, Descriptive Analytics, Analysis

    4.8
    Rating, 4.8 out of 5 stars
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    15 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Preview
    Preview
    D

    Duke University

    Introduction to Machine Learning

    Skills you'll gain: PyTorch (Machine Learning Library), Logistic Regression, Machine Learning Methods, Transfer Learning, Reinforcement Learning, Convolutional Neural Networks, Deep Learning, Image Analysis, Applied Machine Learning, Model Training, Natural Language Processing, Machine Learning, Model Optimization, Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging

    4.7
    Rating, 4.7 out of 5 stars
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    3.8K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    D

    Duke University

    Linear Regression and Modeling

    Skills you'll gain: Regression Analysis, R (Software), Statistical Programming, Statistical Software, Statistical Analysis, R Programming, Statistical Modeling, Statistical Inference, Correlation Analysis, Data Analysis, Statistical Methods, Model Evaluation, Mathematical Modeling, Statistics, Predictive Modeling, Probability & Statistics, Statistical Hypothesis Testing

    4.8
    Rating, 4.8 out of 5 stars
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    1.8K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    I

    IBM

    Supervised Machine Learning: Regression

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

    4.7
    Rating, 4.7 out of 5 stars
    ·
    839 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    E

    EDUCBA

    Regression & Logistic Models in Excel & Minitab

    Skills you'll gain: Data-Driven Decision-Making, Regression Analysis, Logistic Regression, Scatter Plots, Data Analysis, Predictive Analytics, Predictive Modeling, Minitab, Statistical Modeling, Statistical Software, Statistical Methods, Statistical Analysis, Data Analysis Software, Statistical Hypothesis Testing, Correlation Analysis, Microsoft Excel, Model Evaluation

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Intro to Predictive Analytics Using Python

    Skills you'll gain: Feature Engineering, Unsupervised Learning, Model Evaluation, Predictive Modeling, Predictive Analytics, Advanced Analytics, Decision Tree Learning, Supervised Learning, Applied Machine Learning, Model Training, Forecasting, Random Forest Algorithm, Analytics, Data Analysis, Regression Analysis, Machine Learning, Logistic Regression, Python Programming

    Beginner · Course · 1 - 4 Weeks

  • 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
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    8.7K reviews

    Beginner · Course · 1 - 4 Weeks

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

    Coursera

    Predict and Validate Regression Models in R

    Skills you'll gain: Regression Analysis, Predictive Modeling, Model Evaluation, Statistical Modeling, Predictive Analytics, R Programming, Statistical Methods, Model Training, Verification And Validation, Plot (Graphics), Performance Metric

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California, Irvine

    Predictive Modeling, Model Fitting, and Regression Analysis

    Skills you'll gain: Predictive Modeling, Predictive Analytics, Regression Analysis, Decision Tree Learning, Supervised Learning, Logistic Regression, Descriptive Analytics, Model Training, Machine Learning, Model Evaluation, Classification Algorithms, Unsupervised Learning

    4.5
    Rating, 4.5 out of 5 stars
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    75 reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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

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

    Coursera

    Regression: Identify Assumptions & Apply Models

    Skills you'll gain: Regression Analysis, Financial Forecasting, Model Evaluation, Statistical Reporting, Forecasting, Data Presentation, Technical Communication, Statistical Programming, R Programming, Statistical Modeling, Predictive Modeling, Variance Analysis, Statistical Methods, Statistical Analysis, Verification And Validation, Plot (Graphics), Reliability

    Intermediate · Course · 1 - 4 Weeks

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

  • Multiple Regression Analysis in Public Health: Johns Hopkins University
  • Predictive Analytics with SPSS: Analyze & Apply: EDUCBA
  • Introduction to Machine Learning: Duke University
  • Linear Regression and Modeling: Duke University
  • Supervised Machine Learning: Regression: IBM
  • Regression & Logistic Models in Excel & Minitab: EDUCBA
  • Intro to Predictive Analytics Using Python: University of Pennsylvania
  • Advanced Learning Algorithms: DeepLearning.AI
  • Predict and Validate Regression Models in R: Coursera
  • Predictive Modeling, Model Fitting, and Regression Analysis: University of California, Irvine

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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