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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
    C

    CertNexus

    Train Machine Learning Models

    Skills you'll gain: Model Training, Jupyter, Unsupervised Learning, Model Evaluation, Classification Algorithms, Applied Machine Learning, Predictive Modeling, Machine Learning Methods, Regression Analysis, Machine Learning, Model Optimization, Statistical Modeling, Machine Learning Algorithms, Algorithms

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Statistics and Data Analysis with Excel, Part 2

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Sampling (Statistics), Statistical Methods, Statistical Software, Microsoft Excel, Excel Formulas, Probability & Statistics, Data Analysis, Regression Analysis, Statistical Inference, Probability Distribution, Data Analysis Software, Statistical Modeling, Analysis, Probability

    4.6
    Rating, 4.6 out of 5 stars
    ·
    10 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    Universidad Austral

    Modelización Cuantitativa para Finanzas Corporativas

    Skills you'll gain: Financial Modeling, Time Series Analysis and Forecasting, Risk Modeling, Regression Analysis, Financial Forecasting, Predictive Modeling, Statistical Modeling, Financial Data, Forecasting, Finance, Trend Analysis, Predictive Analytics, Statistical Methods, R Programming, Financial Analysis, Statistical Analysis, Statistics, Probability & Statistics, Estimation, Probability Distribution

    4.5
    Rating, 4.5 out of 5 stars
    ·
    32 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of London

    Data Science Project Capstone: Predicting Bicycle Rental

    Skills you'll gain: Correlation Analysis, Predictive Modeling, Data Collection, Regression Analysis, Data Science, Forecasting, Data Analysis, Statistical Modeling, Data Preprocessing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    22 reviews

    Beginner · Course · 1 - 4 Weeks

  • 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

    Data Science Essentials: Analysis, Statistics, and ML

    Skills you'll gain: Plotly, Model Evaluation, NumPy, Statistical Methods, Probability & Statistics, Plot (Graphics), Dashboard, Statistics, Pandas (Python Package), Data Analysis, Database Development, Statistical Analysis, Regression Analysis, Dashboard Creation, Data Manipulation, Python Programming, Applied Machine Learning, Probability, Data Science, Performance Tuning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    30 reviews

    Intermediate · Specialization · 3 - 6 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

  • 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
    J

    Johns Hopkins University

    Precalculus: Mathematical Modeling

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

    4.8
    Rating, 4.8 out of 5 stars
    ·
    97 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Statistical Methods for Computer Science

    Skills you'll gain: Network Analysis, R Programming, Statistical Analysis, Regression Analysis, Statistical Modeling, Statistical Methods, Combinatorics, Bayesian Network, Applied Machine Learning, Statistical Hypothesis Testing, Statistical Programming, Data Analysis, R (Software), Probability, Probability Distribution, Probability & Statistics, Bayesian Statistics, Social Network Analysis, Simulations, Statistical Software

    Intermediate · Specialization · 3 - 6 Months

  • 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

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

  • Train Machine Learning Models: CertNexus
  • Statistics and Data Analysis with Excel, Part 2: University of Colorado Boulder
  • Modelización Cuantitativa para Finanzas Corporativas: Universidad Austral
  • Data Science Project Capstone: Predicting Bicycle Rental: University of London
  • Practical Predictive Analytics: Models and Methods: University of Washington
  • Advanced Methods in Machine Learning Applications: Johns Hopkins University
  • Data Science Essentials: Analysis, Statistics, and ML: Packt
  • Interpretable Machine Learning: Duke University
  • Foundations and Core Concepts of PyTorch: Packt
  • Precalculus: Mathematical Modeling: Johns Hopkins University

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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