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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.


More to explore:

Popular Logistic Regression Courses and Certifications


  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Precalculus: Mathematical Modeling

    Skills you'll gain: Data Analysis, Applied Mathematics, Mathematical Modeling, Analytical Skills, Statistics, Systems Of Measurement, Correlation Analysis, Regression Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    95 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    T

    Tecnológico de Monterrey

    Analizar e incrementar - Parte 1

    Skills you'll gain: Process Analysis, Six Sigma Methodology, Process Improvement, Lean Methodologies, Process Optimization, Operational Analysis, Business Process, Lean Manufacturing, Statistical Analysis, Analysis, Regression Analysis, Continuous Improvement Process, Statistical Methods, Statistical Inference

    4.9
    Rating, 4.9 out of 5 stars
    ·
    64 reviews

    Intermediate · Course · 1 - 4 Weeks

  • T

    The University of Sydney

    Introduction to Advanced Calculus

    Skills you'll gain: Advanced Mathematics, Integral Calculus, Calculus, Mathematical Theory & Analysis, Differential Equations, Applied Mathematics, Engineering Calculations, Mathematical Modeling, Linear Algebra, Physics, Derivatives

    4.6
    Rating, 4.6 out of 5 stars
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    27 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    Edureka

    PySpark for Data Science

    Skills you'll gain: PySpark, Data Pipelines, Dashboard, Data Processing, Data Storage Technologies, Data Visualization, Natural Language Processing, Data Analysis Expressions (DAX), Data Storage, Data Transformation, Machine Learning, Deep Learning, Logistic Regression

    2.7
    Rating, 2.7 out of 5 stars
    ·
    11 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    U

    University of Pittsburgh

    Mathematical Foundations for Data Science and Analytics

    Skills you'll gain: Statistical Analysis, NumPy, Probability Distribution, Matplotlib, Statistics, Pandas (Python Package), Data Science, Probability & Statistics, Probability, Statistical Modeling, Predictive Modeling, Data Analysis, Linear Algebra, Predictive Analytics, Statistical Methods, Mathematics and Mathematical Modeling, Applied Mathematics, Python Programming, Machine Learning, Logical Reasoning

    Build toward a degree

    3.9
    Rating, 3.9 out of 5 stars
    ·
    11 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    A

    Alberta Machine Intelligence Institute

    Machine Learning Algorithms: Supervised Learning Tip to Tail

    Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Classification Algorithms, Model Evaluation, Jupyter, Decision Tree Learning, Machine Learning, Data Preprocessing, Scikit Learn (Machine Learning Library), Business Solutions, Python Programming, Regression Analysis, Performance Analysis, Feature Engineering, Data Processing, Process Optimization

    4.7
    Rating, 4.7 out of 5 stars
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    417 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Methods in Machine Learning Applications

    Skills you'll gain: Model Evaluation, Unsupervised Learning, Applied Machine Learning, Dimensionality Reduction, Reinforcement Learning, Regression Analysis, Machine Learning, Data Mining, Machine Learning Algorithms, Random Forest Algorithm, Decision Tree Learning, Supervised Learning, Logistic Regression, Classification Algorithms

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    CertNexus

    Build Decision Trees, SVMs, and Artificial Neural Networks

    Skills you'll gain: Convolutional Neural Networks, Random Forest Algorithm, Recurrent Neural Networks (RNNs), Decision Tree Learning, Deep Learning, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Predictive Modeling, Supervised Learning, Computer Vision, Classification Algorithms, Natural Language Processing

    4.9
    Rating, 4.9 out of 5 stars
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    14 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    Status: Preview
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    C

    Coursera

    Playwright Power Techniques: Fast and Reliable Web Testing

    Skills you'll gain: Test Script Development, Test Automation, Regression Testing, Continuous Integration, Performance Testing, CI/CD, Browser Compatibility, Test Execution Engine, GitLab, Debugging, Test Case, User Interface (UI), Scalability

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Glasgow

    Capstone Assignment - CDSS 5

    Skills you'll gain: Data Mining, Deep Learning, Health Informatics, Model Evaluation, Responsible AI, Applied Machine Learning, Machine Learning, Artificial Intelligence, Recurrent Neural Networks (RNNs), Data Preprocessing, Logistic Regression

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    Universidad de los Andes

    Modelos predictivos con aprendizaje automático

    Skills you'll gain: Data Ethics, Predictive Modeling, Supervised Learning, Regression Analysis, Applied Machine Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Machine Learning, Classification Algorithms, Decision Tree Learning, Data Preprocessing, Analytical Skills, Python Programming, Unsupervised Learning, Performance Metric

    4.7
    Rating, 4.7 out of 5 stars
    ·
    78 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    SAS

    Machine Learning Using SAS Viya

    Skills you'll gain: Data Preprocessing, Model Deployment, Model Evaluation, Supervised Learning, Decision Tree Learning, Applied Machine Learning, Predictive Modeling, Random Forest Algorithm, Feature Engineering, SAS (Software), Machine Learning, Data Analysis, Business Analysis, Artificial Neural Networks, Classification Algorithms, No-Code Development, Statistical Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    102 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Precalculus: Mathematical Modeling: Johns Hopkins University
  • Analizar e incrementar - Parte 1: Tecnológico de Monterrey
  • Introduction to Advanced Calculus: The University of Sydney
  • PySpark for Data Science: Edureka
  • Mathematical Foundations for Data Science and Analytics: University of Pittsburgh
  • Machine Learning Algorithms: Supervised Learning Tip to Tail: Alberta Machine Intelligence Institute
  • Advanced Methods in Machine Learning Applications: Johns Hopkins University
  • Build Decision Trees, SVMs, and Artificial Neural Networks: CertNexus
  • Playwright Power Techniques: Fast and Reliable Web Testing: Coursera
  • Capstone Assignment - CDSS 5: University of Glasgow

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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