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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

    Precalculus through Data and Modelling

    Skills you'll gain: Data Literacy, Data Analysis, Applied Mathematics, Mathematical Modeling, Graphing, Trigonometry, R (Software), R Programming, General Mathematics, Data Modeling, Algebra, Systems Of Measurement, Mathematical Software, Correlation Analysis, Regression Analysis, Calculus, Business Mathematics, Geometry

    4.7
    Rating, 4.7 out of 5 stars
    ·
    324 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Virginia

    Cost and Economics in Pricing Strategy

    Skills you'll gain: Market Dynamics, Revenue Management, Cost Accounting, Supply And Demand, Economics, Demand Planning, Cost Benefit Analysis, Consumer Behaviour, Marketing Channel, Regression Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    694 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Introduction to Software Testing

    Skills you'll gain: Software Testing, JUnit, Verification And Validation, Unit Testing, Test Case, Test Automation, Development Testing, Test Planning, Test Tools, White-Box Testing, Code Coverage, Software Quality Assurance, Functional Testing, Test Script Development, Systems Development Life Cycle, Test Data, Technical Communication

    4.3
    Rating, 4.3 out of 5 stars
    ·
    831 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    Bayesian Statistics: Techniques and Models

    Skills you'll gain: Bayesian Statistics, Statistical Modeling, Statistical Methods, Model Evaluation, Markov Model, Statistical Analysis, Statistical Software, Sampling (Statistics), Mathematical Modeling, Regression Analysis, R Programming, Simulations, Statistical Inference, Correlation Analysis, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
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    497 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Data Analysis with R

    Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Statistical Analysis, Data Analysis, Model Evaluation, Data Transformation, R Programming, Data Visualization, Regression Analysis, Predictive Modeling, Statistical Methods, R (Software), Data Manipulation, Plot (Graphics), Data Science, Box Plots, Statistical Visualization, Correlation Analysis, Model Training, Tidyverse (R Package)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    373 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft Azure Machine Learning for Data Scientists

    Skills you'll gain: Responsible AI, Microsoft Azure, Unsupervised Learning, Databricks, MLOps (Machine Learning Operations), Applied Machine Learning, Classification Algorithms, Model Training, Regression Analysis, Scikit Learn (Machine Learning Library), Predictive Modeling, Model Deployment, Cloud Management, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Supervised Learning, Machine Learning Algorithms, Data Pipelines, Data Transformation

    4.3
    Rating, 4.3 out of 5 stars
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    178 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    A

    Arizona State University

    Random Models, Nested and Split-plot Designs

    Skills you'll gain: Statistical Analysis, Regression Analysis, Sampling (Statistics), Statistical Modeling, Statistical Methods, Data Transformation, Statistical Hypothesis Testing, Probability Distribution, Logistic Regression

    4.7
    Rating, 4.7 out of 5 stars
    ·
    36 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Linear Models for Data Science 2: Statistical Linear Models

    Skills you'll gain: Regression Analysis, Linear Algebra, R Programming, Data Science, Probability Distribution, Statistical Modeling, Statistical Methods, Probability & Statistics, Applied Mathematics, Statistical Analysis, Statistics, Statistical Inference, Probability, Model Evaluation

    4.6
    Rating, 4.6 out of 5 stars
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    108 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Preview
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    M

    McMaster University

    Experimentation for Improvement

    Skills you'll gain: Experimentation, Scientific Visualization, Plot (Graphics), Data Visualization, Predictive Modeling, Pareto Chart, Predictive Analytics, Model Optimization, Regression Analysis, Statistical Modeling, Process Optimization, Statistical Software, Statistical Methods, Analysis, Data Analysis Software, Mathematical Modeling, R Programming, Data Analysis, Quantitative Research, Statistical Analysis

    4.9
    Rating, 4.9 out of 5 stars
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    936 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Foundations of Sports Analytics: Data, Representation, and Models in Sports

    Skills you'll gain: Statistical Methods, Regression Analysis, Plot (Graphics), Data Cleansing, Statistical Hypothesis Testing, Correlation Analysis, Data Preprocessing, Matplotlib, Data Wrangling, Data Visualization, Statistical Analysis, Data Processing, Statistics, Analytics, Statistical Modeling, R Programming, Data Analysis, Statistical Inference, Pandas (Python Package), Python Programming

    4.4
    Rating, 4.4 out of 5 stars
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    204 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Master Financial Systems & Data Analytics

    Skills you'll gain: Financial Data, Big Data, Analytics, Accounting Systems, Enterprise Resource Planning, Data Mining, Governance Risk Management and Compliance, Advanced Analytics, Governance, Data Visualization, Predictive Analytics, Statistical Visualization, Control Objectives for Information and Related Technology (COBIT), Financial Systems, Data-Driven Decision-Making, Financial Analysis, Business Systems, Information Systems, Accounting, Systems Analysis

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    S

    Sungkyunkwan University

    Machine Learning Basics

    Skills you'll gain: Machine Learning Algorithms, Machine Learning Methods, Machine Learning, Python Programming, Supervised Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Logistic Regression, Analysis, Applied Machine Learning, Regression Analysis, Model Training, Unsupervised Learning, Mathematics and Mathematical Modeling, Statistical Methods, Linear Algebra

    4.4
    Rating, 4.4 out of 5 stars
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    93 reviews

    Mixed · Course · 1 - 4 Weeks

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

  • Precalculus through Data and Modelling: Johns Hopkins University
  • Cost and Economics in Pricing Strategy: University of Virginia
  • Introduction to Software Testing: University of Minnesota
  • Bayesian Statistics: Techniques and Models: University of California, Santa Cruz
  • Data Analysis with R: IBM
  • Microsoft Azure Machine Learning for Data Scientists: Microsoft
  • Random Models, Nested and Split-plot Designs: Arizona State University
  • Advanced Linear Models for Data Science 2: Statistical Linear Models: Johns Hopkins University
  • Experimentation for Improvement: McMaster University
  • Foundations of Sports Analytics: Data, Representation, and Models in Sports: University of Michigan

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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