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 Colorado Boulder
Skills you'll gain: Statistical Modeling, R Programming, Statistical Analysis, Data Analysis, R (Software), Data Ethics, Advanced Analytics, Statistical Methods, Data Modeling, Regression Analysis, Predictive Modeling, Mathematical Modeling, Machine Learning, Logistic Regression, Probability & Statistics, Statistical Inference, Model Evaluation, Probability Distribution, Linear Algebra, Calculus
★ 4.2 (26) · Intermediate · Course · 1 - 4 Weeks

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, Predictive Modeling, Regression Analysis, Data Visualization, MLOps (Machine Learning Operations), Decision Making, Decision Tree Learning, Keras (Neural Network Library)
★ 2.8 (6) · Intermediate · Specialization · 3 - 6 Months

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

Johns Hopkins University
Skills you'll gain: Biostatistics, Regression Analysis, Logistic Regression, Statistical Methods, Public Health, Statistical Analysis, Statistical Inference, Statistical Modeling, Predictive Modeling, Quantitative Research, Data Analysis, Statistical Hypothesis Testing, Model Evaluation
★ 4.8 (331) · Beginner · Course · 1 - 4 Weeks

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

Duke University
Skills you'll gain: Regression Analysis, R (Software), Statistical Programming, Statistical Software, Statistical Analysis, R Programming, Statistical Modeling, Statistical Inference, Correlation Analysis, Data Analysis, Statistical Methods, Model Evaluation, Mathematical Modeling, Statistics, Predictive Modeling, Probability & Statistics, Statistical Hypothesis Testing
★ 4.8 (1.8K) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: SPSS, Correlation Analysis, SPSS (Software), Logistic Regression, Regression Analysis, Predictive Modeling, Predictive Analytics, Statistics, Descriptive Statistics, Statistical Software, Statistical Methods, Statistical Modeling, Advanced Analytics, Case Studies, Statistical Analysis, Probability & Statistics, Data Import/Export, Data Manipulation, Descriptive Analytics, Analysis
★ 4.8 (15) · Mixed · Course · 1 - 3 Months
University of Michigan
Skills you'll gain: Logistic Regression, Forecasting, Data Processing, Predictive Analytics, Predictive Modeling, Statistical Modeling, Data Analysis, Market Data, Analytics, Regression Analysis, Data Preprocessing, Model Evaluation, Python Programming, Probability & Statistics, Data Ethics, Probability, Ethical Standards And Conduct
★ 4.5 (43) · Intermediate · Course · 1 - 3 Months

Birla Institute of Technology & Science, Pilani
Skills you'll gain: Supervised Learning, Applied Machine Learning, Feature Engineering, Machine Learning Methods, Machine Learning Algorithms, Statistical Machine Learning, Predictive Modeling, Model Training, Model Evaluation, Scikit Learn (Machine Learning Library), Machine Learning, Regression Analysis, Bayesian Statistics, Artificial Intelligence and Machine Learning (AI/ML), Logistic Regression, Classification Algorithms, Decision Tree Learning, Model Optimization, Data Preprocessing, Probability & Statistics
Intermediate · Course · 1 - 3 Months

University of Washington
Skills you'll gain: Classification Algorithms, Classification And Regression Tree (CART), Applied Machine Learning, Model Training, Logistic Regression, Supervised Learning, Predictive Modeling, Decision Tree Learning, Data Preprocessing, Model Evaluation, Text Mining, Machine Learning Algorithms, Feature Engineering, Data Cleansing, Scalability, Model Optimization, Risking, Machine Learning, Natural Language Processing, Probability & Statistics
★ 4.7 (3.7K) · Mixed · Course · 1 - 3 Months

O.P. Jindal Global University
Skills you'll gain: Data Mining, Predictive Modeling, Predictive Analytics, Advanced Analytics, Business Analytics, Dimensionality Reduction, Forecasting, Data-Driven Decision-Making, Customer Analysis, Regression Analysis, Demand Planning, Classification Algorithms, Marketing Analytics, Customer Insights, Logistic Regression, Market Analysis, Unsupervised Learning, Decision Tree Learning, Artificial Neural Networks, Correlation Analysis
Mixed · Course · 3 - 6 Months

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