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.

Ball State University
Skills you'll gain: Data Ethics, Graph Theory, Data Collection, Supervised Learning, Software Development Methodologies, File Systems, SQL, Financial Statement Analysis, Statistical Hypothesis Testing, Statistical Methods, Data Wrangling, Logistic Regression, SAS (Software), Object Oriented Programming (OOP), Spatial Analysis, Text Mining, Artificial Intelligence, Data Visualization, Natural Language Processing, R Programming
Earn a degree
Degree · 1 - 4 Years
Universidad de los Andes
Skills you'll gain: Social Network Analysis, Systems Thinking, Unsupervised Learning, Reinforcement Learning, Data Storytelling, Deep Learning, Predictive Modeling, Computer Vision, Project Management Life Cycle, Time Series Analysis and Forecasting, Descriptive Analytics, MLOps (Machine Learning Operations), Logistic Regression, Cash Flows, Strategic Decision-Making, Simulations, Marketing Analytics, Transfer Learning, Pandas (Python Package), Operations Research
Earn a degree
Degree · 1 - 4 Years

Pontificia Universidad Católica de Chile
Skills you'll gain: Descriptive Analytics, Business Analytics, Model Evaluation, Dimensionality Reduction, Data Mining, Statistical Modeling, Predictive Modeling, Plot (Graphics), Advanced Analytics, Data Analysis, R Programming, Big Data, Logistic Regression, Analytics, Data-Driven Decision-Making, Predictive Analytics, Ggplot2, Visualization (Computer Graphics), Scientific Visualization, Data Visualization Software
Credit offered
Mastertrack · 6 - 12 Months

Indian Statistical Institute
Skills you'll gain: Sampling (Statistics), Time Series Analysis and Forecasting, Sample Size Determination, Statistical Machine Learning, NumPy, Spatial Data Analysis, Statistical Hypothesis Testing, Database Management Systems, Probability, Economics, SQL, Data Compilation, Dimensionality Reduction, Statistical Methods, Statistical Inference, Lifelong Learning, Regression Analysis, Graphing, Surveys, International Finance
Postgraduate Diploma · 6 - 12 Months
Stanford University
Skills you'll gain: Bayesian Network, Machine Learning Methods, Statistical Inference, Markov Model, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Probability Distribution, Machine Learning Algorithms, Computational Thinking
Advanced · Course · 1 - 3 Months
Stanford University
Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Bayesian Statistics, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Machine Learning Methods, Statistical Inference, Sampling (Statistics), Statistical Methods, Algorithms, Model Evaluation, Computational Thinking
Advanced · Specialization · 3 - 6 Months
Stanford University
Skills you'll gain: Bayesian Network, Applied Machine Learning, Machine Learning Algorithms, Bayesian Statistics, Markov Model, Machine Learning, Statistical Modeling, Probability Distribution, Statistical Methods, Algorithms, Model Evaluation
Advanced · Course · 1 - 3 Months

Skills you'll gain: R Programming, Predictive Analytics, Applied Machine Learning, Data-Driven Decision-Making, Analytics, Data Science, Feature Engineering, Data Preprocessing, Machine Learning, Telemarketing, Model Deployment
Intermediate · Guided Project · Less Than 2 Hours

University of Minnesota
Skills you'll gain: Operations Research, Mathematical Modeling, Business Modeling, Business Analytics, Analytics, Data Modeling, Business Mathematics, Process Optimization, Data-Driven Decision-Making, Microsoft Excel, Decision Making, Linear Algebra, Spreadsheet Software, Graphing
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Dimensionality Reduction, R Programming, Time Series Analysis and Forecasting, Applied Machine Learning, Unsupervised Learning, Predictive Modeling, Machine Learning, Text Mining, Classification Algorithms, Artificial Neural Networks, Data Mining, Feature Engineering, Data Preprocessing, Model Evaluation, Exploratory Data Analysis
Mixed · Course · 1 - 4 Weeks