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.

University of Pittsburgh
Skills you'll gain: Statistical Modeling, Bayesian Statistics, Logistic Regression, Regression Analysis, Predictive Modeling, Model Evaluation, Statistical Machine Learning, Data-Driven Decision-Making, Statistical Inference, Predictive Analytics, Statistical Analysis, Probability Distribution, Machine Learning Algorithms, Computational Thinking
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Cleansing, Logistic Regression, Data Preprocessing, Applied Machine Learning, Data Mining, Python Programming, Scikit Learn (Machine Learning Library), Classification Algorithms, Machine Learning
★ 4.2 (57) · Intermediate · Guided Project · Less Than 2 Hours
Duke University
Skills you'll gain: Data-Driven Decision-Making, Logistic Regression, Statistical Modeling, Model Evaluation, Predictive Modeling, Regression Analysis, R Programming, Data Modeling, Statistical Hypothesis Testing, Statistical Inference, R (Software)
★ 4.7 (6) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Logistic Regression, Model Evaluation, Data Preprocessing, Model Optimization, Predictive Modeling, R Programming, Risk Modeling, Applied Machine Learning, Regression Analysis, Predictive Analytics, Financial Modeling, Machine Learning, Supervised Learning, Credit Risk, Analytics, Dimensionality Reduction, Data Science
Mixed · Course · 1 - 4 Weeks

Multiple educators
Skills you'll gain: Unsupervised Learning, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Applied Machine Learning, Machine Learning Algorithms, Transfer Learning, Machine Learning, Machine Learning Methods, Decision Tree Learning, Model Evaluation, Responsible AI, Tensorflow, Scikit Learn (Machine Learning Library), Artificial Intelligence, NumPy, Predictive Modeling, Classification Algorithms, Reinforcement Learning, Random Forest Algorithm
★ 4.9 (39K) · Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Model Evaluation, Feature Engineering, Supervised Learning, Exploratory Data Analysis, Classification Algorithms, Machine Learning Algorithms, Applied Machine Learning, Model Deployment, Decision Tree Learning, Logistic Regression, Data Analysis, Scikit Learn (Machine Learning Library), Machine Learning, Data Preprocessing, Python Programming, Pandas (Python Package), Seaborn, NumPy, Data Visualization, Statistical Visualization
★ 4.4 (17) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Logistic Regression, Feature Engineering, Model Evaluation, SAS (Software), Data Preprocessing, Model Training, Performance Analysis, Analysis, Business Analysis, Data Cleansing, Data Transformation, Model Optimization, Insurance
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Predictive Modeling, SAS (Software), Logistic Regression, Model Evaluation, Model Training, Business Analytics, Data Preprocessing, Sampling (Statistics)
★ 4.6 (63) · Intermediate · Course · 1 - 3 Months

Imperial College London
Skills you'll gain: Logistic Regression, Correlation Analysis, Regression Analysis, Sampling (Statistics), Statistical Hypothesis Testing, Statistical Analysis, R (Software), Data Analysis, R Programming, Descriptive Statistics, Statistical Software, Statistical Modeling, Model Evaluation, Probability & Statistics, Statistical Methods, Data Analysis Software, Data Wrangling, Statistics, Public Health, Statistical Inference
★ 4.7 (2.1K) · Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Descriptive Statistics, A/B Testing, Classification And Regression Tree (CART), Dashboard, Dashboard Creation, Model Evaluation, Model Deployment, Data-Driven Decision-Making, Risk Analysis, Histogram, Statistical Inference, Descriptive Analytics, Simulations, Strategic Decision-Making, Predictive Modeling, Regression Analysis, Data Visualization, Decision Making, Decision Tree Learning, Keras (Neural Network Library)
★ 2.6 (7) · Intermediate · Specialization · 3 - 6 Months

University of Colorado Boulder
Skills you'll gain: Statistical Modeling, R Programming, Data Analysis, Data Ethics, Regression Analysis, Machine Learning, Logistic Regression, Model Evaluation, Linear Algebra, Classification Algorithms, Calculus
★ 4.2 (26) · Intermediate · Course · 1 - 4 Weeks

University of California, Irvine
Skills you'll gain: Predictive Modeling, Predictive Analytics, Regression Analysis, Decision Tree Learning, Supervised Learning, Logistic Regression, Descriptive Analytics, Model Training, Machine Learning, Model Evaluation, Classification Algorithms, Unsupervised Learning
★ 4.5 (76) · Intermediate · Course · 1 - 4 Weeks