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.

Johns Hopkins University
Skills you'll gain: Biostatistics, Logistic Regression, Regression Analysis, Statistical Methods, Statistical Analysis, Epidemiology, Quantitative Research, Public Health, Statistical Modeling, Probability & Statistics, Statistical Inference, Risk Analysis
★ 4.7 (390) · Beginner · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Regression Analysis, Supervised Learning, Model Evaluation, Logistic Regression, Statistical Analysis, Data Analysis, Statistical Modeling, Predictive Modeling, Machine Learning Methods, Feature Engineering, Data Preprocessing, Exploratory Data Analysis
★ 4.9 (10) · Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Feature Engineering, Exploratory Data Analysis, Data Preprocessing, Predictive Modeling, Predictive Analytics, Regression Analysis, Supervised Learning, Data Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Data Cleansing, Statistical Methods, Data Transformation, Seaborn, Pandas (Python Package), Matplotlib
Mixed · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Risk Modeling, Decision Tree Learning, Predictive Modeling, Feature Engineering, Applied Machine Learning, Random Forest Algorithm, Forecasting, Model Evaluation, Data Preprocessing, Logistic Regression, Machine Learning, Statistical Analysis, Probability & Statistics, Data Analysis, Deep Learning
★ 4.7 (800) · Intermediate · Course · 1 - 4 Weeks

Imperial College London
Skills you'll gain: Correlation Analysis, Regression Analysis, Data Analysis, R Programming, Descriptive Statistics, Statistical Modeling, R (Software), Exploratory Data Analysis, Model Evaluation, Statistical Analysis, Probability & Statistics, Biostatistics, Data Import/Export
★ 4.8 (530) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Regression Analysis, Predictive Modeling, Supervised Learning, Scikit Learn (Machine Learning Library), Data Analysis, Correlation Analysis, Applied Machine Learning, Scatter Plots, Statistical Analysis, Data Validation, Data Preprocessing, NumPy, Pandas (Python Package), Box Plots, Histogram
★ 4.6 (14) · Mixed · Course · 1 - 4 Weeks

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

University of Colorado Boulder
Skills you'll gain: Predictive Modeling, Predictive Analytics, Logistic Regression, Exploratory Data Analysis, Data Visualization, Data Modeling, Data Presentation, Business Analytics, Data Analysis, Statistical Modeling, Regression Analysis, Classification Algorithms, Microsoft Excel, Supervised Learning, Decision Tree Learning, Data Cleansing, Artificial Neural Networks
★ 3.6 (605) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, Data Cleansing, Data Visualization, Data Preprocessing, Logistic Regression, Predictive Modeling, Applied Machine Learning, Scikit Learn (Machine Learning Library), Supervised Learning, Machine Learning, Model Evaluation, Classification Algorithms, Data Science, Python Programming
★ 4.8 (19) · Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Data Analysis, Predictive Analytics, Case Studies, Statistical Visualization, Statistical Modeling
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Predictive Modeling, Model Evaluation, Data Preprocessing, Predictive Analytics, Logistic Regression, Risk Modeling, Statistical Modeling, Feature Engineering, Regression Analysis, Correlation Analysis, Classification Algorithms, Data Manipulation, Scikit Learn (Machine Learning Library), Data Transformation, Pandas (Python Package), NumPy
Mixed · Course · 1 - 3 Months

Coursera
Skills you'll gain: Regression Analysis, NumPy, Supervised Learning, Machine Learning Algorithms, Machine Learning, Predictive Modeling, Deep Learning, Data Science, Python Programming
★ 4.6 (439) · Intermediate · Guided Project · Less Than 2 Hours