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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


  • S

    SAS

    Predictive Modeling with Logistic Regression using SAS

    Skills you'll gain: SAS (Software), Model Evaluation, Logistic Regression, Predictive Modeling, Statistical Modeling, Predictive Analytics, Statistical Software, Big Data, Regression Analysis, Data Management, Feature Engineering, Performance Analysis, Statistical Analysis, Data Preprocessing, Correlation Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    63 reviews

    Intermediate · Course · 1 - 3 Months

  • I

    IBM

    Supervised Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Supervised Learning, Model Evaluation, Data Preprocessing, Logistic Regression, Machine Learning Algorithms, Decision Tree Learning, Applied Machine Learning, Model Training, Statistical Machine Learning, Predictive Modeling, Business Logic, Machine Learning Methods, Scikit Learn (Machine Learning Library), Data Cleansing, Machine Learning, Regression Analysis, Random Forest Algorithm, Model Optimization, Sampling (Statistics)

    4.8
    Rating, 4.8 out of 5 stars
    ·
    462 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of Washington

    Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Applied Machine Learning, Model Training, Logistic Regression, Supervised Learning, Predictive Modeling, Decision Tree Learning, Data Preprocessing, Model Evaluation, Machine Learning Methods, Text Mining, Machine Learning Algorithms, Scalability, Model Optimization, Risking, Machine Learning, Natural Language Processing, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.7K reviews

    Mixed · Course · 1 - 3 Months

  • C

    Coursera

    Statistical and Predictive Modeling for Finance

    Skills you'll gain: Risk Modeling, Descriptive Statistics, Financial Data, Financial Modeling, Regression Analysis, Statistical Modeling, Financial Analysis, Decision Tree Learning, Credit Risk, Lending and Underwriting, Predictive Modeling, Commercial Lending, Portfolio Management, Statistics, Portfolio Risk, Statistical Analysis, Performance Metric, Model Evaluation, Supervised Learning, Statistical Hypothesis Testing

    Intermediate · Course · 1 - 3 Months

  • I

    IBM

    Supervised Machine Learning: Regression

    Skills you'll gain: Supervised Learning, Regression Analysis, Applied Machine Learning, Predictive Modeling, Machine Learning Methods, Model Training, Statistical Machine Learning, Machine Learning, Machine Learning Algorithms, Statistical Modeling, Model Evaluation, Data Preprocessing, Feature Engineering, Model Optimization, Statistical Analysis, Statistical Methods, Classification Algorithms, Data Presentation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    837 reviews

    Intermediate · Course · 1 - 3 Months

  • I

    IBM

    Introduction to Neural Networks and PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Tensorflow, Logistic Regression, Applied Machine Learning, Predictive Modeling, Machine Learning Methods, Deep Learning, Regression Analysis, Machine Learning, Supervised Learning, Data Preprocessing, Statistical Methods, Data Processing, Probability & Statistics

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1.9K reviews

    Intermediate · Course · 1 - 3 Months

  • E

    EDUCBA

    Predictive Analytics & Modeling with Minitab

    Skills you'll gain: Data-Driven Decision-Making, Minitab, Regression Analysis, Predictive Modeling, Logistic Regression, Statistical Hypothesis Testing, Statistical Analysis, Scatter Plots, Correlation Analysis, Data Analysis, Analytics, Data Analysis Software, Predictive Analytics, Statistical Methods, Descriptive Statistics, Statistical Software, Statistical Modeling, Advanced Analytics, Forecasting, Business Analytics

    4.8
    Rating, 4.8 out of 5 stars
    ·
    25 reviews

    Beginner · Specialization · 1 - 3 Months

  • U

    University of Washington

    Machine Learning: Regression

    Skills you'll gain: Regression Analysis, Model Evaluation, Predictive Modeling, Supervised Learning, Statistical Machine Learning, Statistical Modeling, Model Training, Applied Machine Learning, Machine Learning Algorithms, Machine Learning Methods, Feature Engineering, Machine Learning, Data Preprocessing, Model Optimization, Statistical Methods

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.6K reviews

    Mixed · Course · 1 - 3 Months

  • D

    Duke University

    Introduction to Machine Learning

    Skills you'll gain: PyTorch (Machine Learning Library), Logistic Regression, Machine Learning Methods, Transfer Learning, Reinforcement Learning, Convolutional Neural Networks, Deep Learning, Image Analysis, Applied Machine Learning, Model Training, Natural Language Processing, Machine Learning, Model Optimization, Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.8K reviews

    Intermediate · Course · 1 - 3 Months

  • E

    EDUCBA

    Apply R for Predictive Analytics and Machine Learning

    Skills you'll gain: Predictive Modeling, Model Evaluation, Data Visualization, Statistical Analysis, Predictive Analytics, Feature Engineering, Classification And Regression Tree (CART), Data Mining, Advanced Analytics, Statistical Modeling, Risk Modeling, R (Software), R Programming, Data Preprocessing, Data Cleansing, Transaction Processing, Unsupervised Learning, Model Training, Model Optimization, Machine Learning

    Beginner · Specialization · 1 - 3 Months

  • C

    Coursera

    Predict and Validate Regression Models in R

    Skills you'll gain: Regression Analysis, Predictive Modeling, Model Evaluation, Statistical Modeling, Predictive Analytics, R Programming, Financial Forecasting, Statistical Methods, Model Training, Data Validation, Verification And Validation, Plot (Graphics), Performance Metric

    Beginner · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Regression & Forecasting for Data Scientists using Python

    Skills you'll gain: Time Series Analysis and Forecasting, Exploratory Data Analysis, Model Evaluation, Feature Engineering, Data Preprocessing, Statistical Analysis, Forecasting, Regression Analysis, Python Programming, Data Analysis, Predictive Modeling, Data Science, Data Processing, Data Transformation

    4.5
    Rating, 4.5 out of 5 stars
    ·
    43 reviews

    Intermediate · Course · 1 - 4 Weeks

1234…59

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

  • Predictive Modeling with Logistic Regression using SAS : SAS
  • Supervised Machine Learning: Classification: IBM
  • Machine Learning: Classification: University of Washington
  • Statistical and Predictive Modeling for Finance : Coursera
  • Supervised Machine Learning: Regression: IBM
  • Introduction to Neural Networks and PyTorch: IBM
  • Predictive Analytics & Modeling with Minitab: EDUCBA
  • Machine Learning: Regression: University of Washington
  • Introduction to Machine Learning: Duke University
  • Apply R for Predictive Analytics and Machine Learning: EDUCBA

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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