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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


  • A

    Arizona State University

    Introduction to Machine Learning with Python

    Skills you'll gain: Supervised Learning, Unsupervised Learning, Generative Adversarial Networks (GANs), Deep Learning, Image Analysis, Machine Learning Algorithms, Applied Machine Learning, Python Programming, Machine Learning, Artificial Neural Networks, Model Evaluation, Data Processing, Classification Algorithms, Computer Vision, Predictive Modeling, Computer Programming, Regression Analysis

    3.6
    Rating, 3.6 out of 5 stars
    ·
    24 reviews

    Beginner · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    Analysis and Interpretation of Large-Scale Programs

    Skills you'll gain: Program Evaluation, Health Equity, Quantitative Research, Data Analysis, Statistical Analysis, Analysis, Statistical Reporting, Data Collection, Sampling (Statistics), Public Health and Disease Prevention, Regression Analysis, Maternal Health, Data Quality

    4.8
    Rating, 4.8 out of 5 stars
    ·
    13 reviews

    Intermediate · Course · 1 - 3 Months

  • J

    Johns Hopkins University

    Introduction to Uncertainty Quantification

    Skills you'll gain: Probability, Bayesian Statistics, Probability Distribution, Risk Modeling, Mathematical Modeling, Statistical Inference, Markov Model, Reliability, Simulations, Applied Mathematics, Statistical Analysis, Regression Analysis

    5
    Rating, 5 out of 5 stars
    ·
    10 reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Colorado Boulder

    Trees, SVM and Unsupervised Learning

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Unsupervised Learning, Classification And Regression Tree (CART), Decision Tree Learning, Artificial Neural Networks, Classification Algorithms, Supervised Learning, Machine Learning Algorithms, Random Forest Algorithm, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Dimensionality Reduction, Statistics

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 4 Weeks

  • A

    American Psychological Association

    Data Exploration in Psychology

    Skills you'll gain: Regression Analysis, Correlation Analysis, Statistical Software, Data Visualization, Statistical Analysis, Statistical Methods, Descriptive Statistics, Histogram, Data Analysis, Box Plots, Exploratory Data Analysis, Graphing, Data Visualization Software, Data Literacy, Probability & Statistics, Quantitative Research, Variance Analysis, Statistical Visualization, Statistics, Social Sciences

    4.5
    Rating, 4.5 out of 5 stars
    ·
    8 reviews

    Beginner · Specialization · 3 - 6 Months

  • I

    IBM

    Software Testing, Deployment, and Maintenance Strategies

    Skills you'll gain: Test Planning, Test Driven Development (TDD), Release Management, Software Testing, Behavior-Driven Development, Business Continuity Planning, Risk Management, System Testing, Application Deployment, Software Quality Assurance, Software Development Life Cycle, CI/CD, Data Validation, Systems Analysis, Systems Thinking, Data Modeling, Product Lifecycle Management, Business Process Automation, Digital Transformation, Process Flow Diagrams

    4.8
    Rating, 4.8 out of 5 stars
    ·
    14 reviews

    Intermediate · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    What are the Chances? Probability and Uncertainty in Statistics

    Skills you'll gain: Statistics, Regression Analysis, Probability, Statistical Hypothesis Testing, Probability Distribution, Statistical Analysis, Statistical Inference, Sampling (Statistics), Combinatorics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    18 reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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 Analysis Software, Data Transformation, Statistical Hypothesis Testing, Probability Distribution

    4.7
    Rating, 4.7 out of 5 stars
    ·
    36 reviews

    Intermediate · Course · 1 - 4 Weeks

  • E

    EDUCBA

    AI Machine Learning with R & Python Projects

    Skills you'll gain: Sampling (Statistics), Matplotlib, Data Analysis, Data Mining, Statistical Analysis, Statistical Hypothesis Testing, NumPy, Pandas (Python Package), Probability Distribution, Dimensionality Reduction, Model Evaluation, R Programming, Probability, Python Programming, Scikit Learn (Machine Learning Library), Data Preprocessing, Linear Algebra, Applied Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML)

    4.5
    Rating, 4.5 out of 5 stars
    ·
    16 reviews

    Beginner · Specialization · 3 - 6 Months

  • C

    Codio

    Data Analysis in R with RStudio & Tidyverse

    Skills you'll gain: Descriptive Statistics, Statistical Hypothesis Testing, Correlation Analysis, Tidyverse (R Package), Data Analysis, Regression Analysis, Probability & Statistics, Statistical Methods, Data Import/Export, Statistical Analysis, R Programming, Data Wrangling, Data Manipulation

    4.3
    Rating, 4.3 out of 5 stars
    ·
    19 reviews

    Beginner · Course · 1 - 3 Months

  • F

    Fractal Analytics

    Advanced Machine Learning Algorithms

    Skills you'll gain: Feature Engineering, Model Evaluation, Machine Learning Algorithms, Random Forest Algorithm, Algorithms, Supervised Learning, Applied Machine Learning, Decision Tree Learning, Predictive Modeling, Classification Algorithms, Regression Analysis, Performance Tuning

    3.8
    Rating, 3.8 out of 5 stars
    ·
    12 reviews

    Beginner · Course · 1 - 3 Months

  • M

    Microsoft

    Microsoft R Programming for Everyone

    Skills you'll gain: Rmarkdown, Version Control, Web Scraping, Regression Analysis, Knitr, Exploratory Data Analysis, Statistical Analysis, Data Manipulation, Dimensionality Reduction, Ggplot2, Geospatial Information and Technology, Time Series Analysis and Forecasting, Plotly, Microsoft Azure, Data Cleansing, Data Visualization, Software Documentation, R Programming, Data Quality, Microsoft Copilot

    4.5
    Rating, 4.5 out of 5 stars
    ·
    6 reviews

    Beginner · Professional Certificate · 3 - 6 Months

Searches related to logistic regression

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1…454647…60

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

  • Introduction to Machine Learning with Python: Arizona State University
  • Analysis and Interpretation of Large-Scale Programs: Johns Hopkins University
  • Introduction to Uncertainty Quantification: Johns Hopkins University
  • Trees, SVM and Unsupervised Learning: University of Colorado Boulder
  • Data Exploration in Psychology: American Psychological Association
  • Software Testing, Deployment, and Maintenance Strategies : IBM
  • What are the Chances? Probability and Uncertainty in Statistics: Johns Hopkins University
  • Random Models, Nested and Split-plot Designs: Arizona State University
  • AI Machine Learning with R & Python Projects: EDUCBA
  • Data Analysis in R with RStudio & Tidyverse: Codio

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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