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: Statistical Hypothesis Testing, Sampling (Statistics), Regression Analysis, Bayesian Statistics, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistical Methods, Statistical Modeling, Linear Algebra, Probability, Probability Distribution, R Programming, Biostatistics, Data Science, Statistics, Mathematical Modeling, Data Analysis, Data Modeling, Applied Mathematics
Advanced · Specialization · 3 - 6 Months

Arizona State University
Skills you'll gain: Experimentation, Research Design, Statistical Modeling, Statistical Methods, Applied Machine Learning, Supervised Learning, Logistic Regression, Predictive Modeling, Statistical Programming, Statistical Analysis, Statistical Inference, Simulation and Simulation Software, Probability & Statistics, Data Science, Data Visualization, Simulations, Data Analysis, Data Analysis Software
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Predictive Analytics, Feature Engineering, Regression Analysis, Data Analysis, Data Preprocessing, Data Manipulation, Data Cleansing, Data Wrangling, Forecasting, Data Validation, Workflow Management, Statistical Modeling, Data Transformation, Exploratory Data Analysis
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Logistic Regression, SAS (Software), Predictive Analytics, Advanced Analytics, Model Evaluation, Data Analysis, Statistical Analysis, Regression Analysis, Statistical Modeling, Exploratory Data Analysis, Correlation Analysis, Statistical Methods, Small Data, Statistical Hypothesis Testing, Probability & Statistics, Descriptive Statistics
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Logistic Regression, Model Evaluation
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Logistic Regression, Model Evaluation, Data Preprocessing, Predictive Modeling, R Programming, Feature Engineering, Risk Modeling, Classification And Regression Tree (CART), Statistical Modeling, Applied Machine Learning, Regression Analysis, Predictive Analytics, Advanced Analytics, Machine Learning Methods, Data Manipulation, Supervised Learning, Performance Measurement, Credit Risk, Dimensionality Reduction
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: PyTorch (Machine Learning Library), Statistical Methods, Logistic Regression, Tensorflow, Artificial Neural Networks, Probability & Statistics, Regression Analysis, Model Evaluation, Data Preprocessing
Intermediate · Course · 1 - 3 Months

Arizona State University
Skills you'll gain: Data Storage Technologies, Statistics, Data Storage, Database Software, Statistical Hypothesis Testing, Data Manipulation
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data-Driven Decision-Making, Minitab, Regression Analysis, Logistic Regression, Statistical Hypothesis Testing, Statistical Analysis, Scatter Plots, Correlation Analysis, Data Analysis, Predictive Analytics, Statistical Methods, Descriptive Statistics, Analytics, Business Analytics, Predictive Modeling, Forecasting, Advanced Analytics, Statistical Modeling, Quantitative Research, Case Studies
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, Machine Learning Methods, Decision Tree Learning, Logistic Regression, Predictive Modeling, Data Analysis, Statistical Machine Learning, Scikit Learn (Machine Learning Library), Classification And Regression Tree (CART), Data Mining, Data Preprocessing, Pandas (Python Package), NumPy
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Logistic Regression, Feature Engineering, Model Evaluation, SAS (Software), Data Preprocessing, Predictive Modeling, Classification Algorithms, Statistical Modeling, Regression Analysis, Data Analysis Software, Data Transformation, Statistical Analysis, Correlation Analysis, Graphing
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Data Preprocessing, Predictive Modeling, Exploratory Data Analysis, R Programming, Customer Analysis, Predictive Analytics, Data Analysis, Data-Driven Decision-Making, Statistical Modeling, R (Software), Feature Engineering, Applied Machine Learning, Logistic Regression, Data Transformation, Business Analytics, Decision Tree Learning
Beginner · Course · 1 - 4 Weeks