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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


  • C

    Coursera

    Classification Trees in Python, From Start To Finish

    Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Data Preprocessing, Data Transformation, Supervised Learning, Predictive Modeling, Feature Engineering, Scikit Learn (Machine Learning Library), Classification Algorithms, Applied Machine Learning, Model Evaluation, Model Training

    4.6
    Rating, 4.6 out of 5 stars
    ·
    233 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    M

    Macquarie University

    Statistics and Data Analysis with Excel: Intermediate

    Skills you'll gain: Pivot Tables And Charts, Interactive Data Visualization, Data Visualization, Statistical Inference, Data Visualization Software, Data Presentation, Correlation Analysis, Microsoft Excel, Data Literacy, Spreadsheet Software, Probability & Statistics, Statistics, Regression Analysis, Statistical Hypothesis Testing, Data Analysis, Statistical Methods, Excel Formulas, Statistical Analysis, Sampling (Statistics), Statistical Software

    4.6
    Rating, 4.6 out of 5 stars
    ·
    21 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Practical Predictive Analytics: Models and Methods

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Data Science, Machine Learning Methods, Predictive Analytics, Applied Machine Learning, Analytics, Data Analysis, R Programming, Model Optimization, Statistical Methods, Decision Tree Learning, Statistical Inference, Statistical Analysis, Machine Learning, Statistics, Graph Theory, Classification Algorithms, Network Analysis, Big Data

    4.1
    Rating, 4.1 out of 5 stars
    ·
    323 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, Machine Learning Methods, Regression Analysis, Machine Learning, Data Mining, Machine Learning Algorithms, Predictive Modeling, Random Forest Algorithm, Decision Tree Learning, Model Optimization, Logistic Regression, Classification Algorithms

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Foundations and Core Concepts of PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Model Evaluation, Deep Learning, Model Training, Artificial Intelligence and Machine Learning (AI/ML), Fine-tuning, Machine Learning, Machine Learning Algorithms, Artificial Neural Networks, Artificial Intelligence, Model Optimization, Data Preprocessing, Regression Analysis, Software Installation, System Configuration

    4.5
    Rating, 4.5 out of 5 stars
    ·
    54 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Interpretable Machine Learning

    Skills you'll gain: Responsible AI, Large Language Modeling, Decision Tree Learning, Data Ethics, Regression Analysis, Artificial Intelligence, Machine Learning, Applied Machine Learning, Statistical Modeling, Python Programming, Embeddings, Deep Learning, Machine Learning Algorithms, Artificial Neural Networks

    4.6
    Rating, 4.6 out of 5 stars
    ·
    30 reviews

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    R Programming for Statistics and Data Science

    Skills you'll gain: R (Software), R Programming, Statistical Hypothesis Testing, Plot (Graphics), Ggplot2, Data Visualization, Data Manipulation, Exploratory Data Analysis, Statistical Programming, Statistical Visualization, Data Science, Tidyverse (R Package), Statistical Methods, Statistical Modeling, Data Analysis, Data-oriented programming, Regression Analysis, Data Structures, Data Wrangling, Statistical Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    15 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Toronto

    Inclusive Analytic Techniques

    Skills you'll gain: Data Ethics, Data Collection, Quantitative Research, Qualitative Research, Data Analysis, Statistical Analysis, Analytical Skills, Statistical Methods, Analytics, Regression Analysis, Research, Diversity Awareness, Focus Group, Correlation Analysis, Diversity and Inclusion, Research Methodologies, Business Analytics, Data Synthesis, Statistical Inference, Stakeholder Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    97 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    Edureka

    Machine Learning with PySpark

    Skills you'll gain: PySpark, Model Optimization, Model Training, Applied Machine Learning, Data Manipulation, Machine Learning, Data Preprocessing, Logistic Regression

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Illinois Tech

    Model Diagnostics and Remedial Measures

    Skills you'll gain: Model Evaluation, Regression Analysis, Verification And Validation, Feature Engineering, Plot (Graphics), Statistical Methods, Statistical Modeling, Scatter Plots, Data Transformation, Correlation Analysis, Statistical Analysis, R Programming, Statistical Inference, Statistical Hypothesis Testing

    Build toward a degree

    4.9
    Rating, 4.9 out of 5 stars
    ·
    11 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    S

    SAS

    Statistics You Need to Know for Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Logistic Regression, Correlation Analysis, Applied Machine Learning, Model Evaluation, Data Modeling

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    SkillUp

    The Business Intelligence (BI) Analyst Capstone Project

    Skills you'll gain: Presentations, Business Intelligence, Dashboard Creation, Dashboard, Tableau Software, IBM Cognos Analytics, Data Presentation, Statistical Analysis, Business Analytics, Data Analysis, Looker (Software), Regression Analysis, Data Visualization, PostgreSQL, Interactive Data Visualization, Query Languages, Data Visualization Software, Data Cleansing, Microsoft Excel, SQL

    4.7
    Rating, 4.7 out of 5 stars
    ·
    43 reviews

    Advanced · Course · 1 - 3 Months

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

  • Classification Trees in Python, From Start To Finish: Coursera
  • Statistics and Data Analysis with Excel: Intermediate: Macquarie University
  • Practical Predictive Analytics: Models and Methods: University of Washington
  • Advanced Methods in Machine Learning Applications: Johns Hopkins University
  • Foundations and Core Concepts of PyTorch: Packt
  • Interpretable Machine Learning: Duke University
  • R Programming for Statistics and Data Science: Packt
  • Inclusive Analytic Techniques: University of Toronto
  • Machine Learning with PySpark: Edureka
  • Model Diagnostics and Remedial Measures: Illinois Tech

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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