Logistic Regression Courses and Certifications

Logistic Regression and Prediction for Health Data

Fit logistic regressions in R for binary health outcomes: compare proportions between two groups, connect prevalence, risk and odds ratios, and assess predictive accuracy.

• Coursera
• 3 weeks, 4 hours a week
• Self-Paced
• Paid Course

Logistic Regression in R for Public Health

368 ratings at Coursera

Run simple and multiple logistic regression in R on messy health data: define odds and odds ratios, predict diabetes, check assumptions, and compare model selection approaches.

• Coursera
• 4 weeks, 3 hours a week
• Self-Paced
• Paid Course

Coursera

Logistic Regression with NumPy and Python

396 ratings at Coursera

Build a logistic regression model from scratch in Python and NumPy, coding the cost function and gradient descent yourself and running basic exploratory data analysis.

• Coursera
• 1 hour 35 minutes
• Self-Paced
• Paid Course

Logistic Regression Practical Case Study

5632 ratings at Udemy

Build a logistic regression model in Google Colab to classify breast tumors as benign or malignant, then evaluate it with a confusion matrix and k-fold cross-validation.

• Udemy
• 1 hour 6 minutes
• Self-Paced
• Free Online Course

Deep Learning Prerequisites: Logistic Regression in Python

4922 ratings at Udemy

Data science, machine learning, and artificial intelligence in Python for students and professionals

• Udemy
• 6 hours 52 minutes
• Self-Paced
• Paid Course

Predictive Modeling with Logistic Regression using SAS

63 ratings at Coursera

Model individual behavior with SAS PROC LOGISTIC: fit and score logistic models, recode categorical predictors, handle missing values and multicollinearity, and compare model performance.

• Coursera
• 6 weeks, 3 hours a week
• Self-Paced
• Paid Course

Logistic Regression using SAS - Indepth Predictive Modeling

1147 ratings at Udemy

Analytics /Machine Learning / Data Science: Statistical / Econometrics foundation, SAS Program details, Modeling demo

• Udemy
• 17 hours 57 minutes
• Self-Paced
• Paid Course

EDUCBA

SPSS: Apply & Interpret Logistic Regression Models

13 ratings at Coursera

Build and interpret logistic regression models in IBM SPSS: configure variables, read output tables, and assess prediction accuracy through heart pulse and smoking behavior case studies.

• Coursera
• 2 weeks, 2 hours a week
• Self-Paced
• Paid Course

EDUCBA

Logistic Regression Fundamentals: Analyze & Predict

Build and evaluate logistic regression models for binary outcomes: logit transformation, odds interpretation, maximum likelihood estimation, binning and dummy variables, and SAS PROC LOGISTIC diagnostics.

• Coursera
• 2 weeks, 2 hours a week
• Self-Paced
• Paid Course

EDUCBA

Logistic Regression with R: Build & Predict

Build logistic regression models in R: prepare data, interpret coefficients, and evaluate with confusion matrices, ROC and AUC across diabetes, credit risk and loan approval datasets.

• Coursera
• 3 weeks, 3 hours a week
• Self-Paced
• Paid Course

EDUCBA

Logistic Regression with SAS: Build & Evaluate Models

Build logistic regression models in SAS with PROC LOGISTIC: handle missing values, encode categoricals, cluster and select predictors, and evaluate with confusion matrices and logit plots.

• Coursera
• 3 weeks, 3 hours a week
• Self-Paced
• Paid Course

Logistic Regression

Explore logistic regression for predicting discrete outcomes, including coefficients, maximum likelihood, deviance, residuals, p-values, and implementation in R.

• YouTube
• 1 hour 30 minutes
• Self-Paced
• Free Video

Machine Learning: Logistic Regression

281 ratings at Codecademy

Learn to build, evaluate, and interpret logistic regression models for binary classification and probability-based predictions.

• Codecademy
• 3 hours
• Self-Paced
• Free Trial Available

Serrano.Academy

Logistic Regression and the Perceptron Algorithm - A Friendly Introduction

A visual, low-math introduction to logistic regression and the perceptron algorithm using email spam classification, decision boundaries, sigmoid activation, and log-loss.

• YouTube
• 45 minutes
• Self-Paced
• Free Video

NPTEL-NOC IITM

Logistic Regression - Continued

Explore advanced concepts and applications of logistic regression for enhanced predictive modeling and data analysis skills.

• YouTube
• 19 minutes
• Self-Paced
• Free Video