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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


  • J

    Johns Hopkins University

    Simple Regression Analysis in Public Health

    Skills you'll gain: Biostatistics, Logistic Regression, Regression Analysis, Statistical Methods, Statistical Analysis, Data Literacy, Quantitative Research, Public Health, Statistical Modeling, Statistics, Probability & Statistics, Statistical Inference, Statistical Hypothesis Testing, Risk Modeling

    4.7
    Rating, 4.7 out of 5 stars
    ·
    391 reviews

    Beginner · Course · 1 - 3 Months

  • U

    University of Colorado Boulder

    Generalized Linear Models and Nonparametric Regression

    Skills you'll gain: Statistical Modeling, R Programming, Statistical Analysis, Statistical Programming, Data Analysis, R (Software), Data Science, Data Ethics, Statistical Software, Statistical Methods, Regression Analysis, Predictive Modeling, Machine Learning, Logistic Regression, Probability & Statistics, Statistical Inference, Model Evaluation, Probability Distribution, Linear Algebra, Calculus

    Build toward a degree

    4.2
    Rating, 4.2 out of 5 stars
    ·
    24 reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Washington

    Machine Learning: Regression

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

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.6K reviews

    Mixed · Course · 1 - 3 Months

  • 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

  • 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, Analytics, Logistic Regression, Descriptive Analytics, Model Training, Machine Learning, Model Evaluation, Classification Algorithms, Unsupervised Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    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

  • 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

  • E

    EDUCBA

    Predictive Modeling with Python: Apply & Evaluate

    Skills you'll gain: Predictive Modeling, Model Evaluation, Data Preprocessing, Predictive Analytics, Logistic Regression, Risk Modeling, Model Training, Statistical Modeling, Feature Engineering, Regression Analysis, Correlation Analysis, Classification Algorithms, Data Cleansing, Model Optimization

    Mixed · Course · 1 - 3 Months

  • E

    EDUCBA

    Analyze Predictor Impact Using Regression in Minitab

    Skills you'll gain: Data Analysis, Predictive Analytics, Case Studies, Statistical Visualization, Statistical Modeling, Data Validation

    Beginner · Course · 1 - 4 Weeks

  • 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

  • I

    Imperial College London

    Linear Regression in R for Public Health

    Skills you'll gain: Correlation Analysis, Regression Analysis, Data Analysis, R Programming, Descriptive Statistics, Descriptive Analytics, Statistical Modeling, R (Software), Exploratory Data Analysis, Model Evaluation, Statistical Analysis, Statistical Methods, Probability & Statistics, Biostatistics, Predictive Modeling, Model Training, Data Manipulation, Data Import/Export

    4.8
    Rating, 4.8 out of 5 stars
    ·
    530 reviews

    Intermediate · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Linear Regression with R: Build & Optimize

    Skills you'll gain: Model Evaluation, Regression Analysis, Statistical Methods, Model Training, Data Visualization, Statistical Modeling, Plot (Graphics), Feature Engineering, Model Optimization, Predictive Modeling, Data Analysis, R Programming, Supervised Learning, Correlation Analysis, Probability & Statistics, Verification And Validation

    Mixed · Course · 1 - 4 Weeks

1…567…59

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

  • Simple Regression Analysis in Public Health : Johns Hopkins University
  • Generalized Linear Models and Nonparametric Regression: University of Colorado Boulder
  • Machine Learning: Regression: University of Washington
  • Linear Regression with Python: Coursera
  • Predictive Modeling, Model Fitting, and Regression Analysis: University of California, Irvine
  • Predict Ad Clicks Using Logistic Regression and XG-Boost: Coursera
  • Regression Analysis for Statistics & Machine Learning in R: Packt
  • Predictive Modeling with Python: Apply & Evaluate: EDUCBA
  • Analyze Predictor Impact Using Regression in Minitab: EDUCBA
  • Advanced Learning Algorithms: DeepLearning.AI

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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