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: Retrieval-Augmented Generation, LLM Application, Tool Calling, Data Visualization, Predictive Modeling, Database Design, Large Language Modeling, Database Management, Databases, Model Evaluation, Web Services, Data Ethics, Apache Spark, Bayesian Statistics, Data Visualization Software, Linear Algebra, Model Deployment, Data Governance, Regression Analysis, Data Analysis
Earn a degree
Degree · 1 - 4 Years

Indian Statistical Institute
Skills you'll gain: Sampling (Statistics), Time Series Analysis and Forecasting, Sample Size Determination, Statistical Machine Learning, Spatial Data Analysis, Statistical Hypothesis Testing, Probability, Database Management Systems, Economics, Statistical Modeling, SQL, NumPy, Data Compilation, Dimensionality Reduction, Statistical Methods, Lifelong Learning, Regression Analysis, Graphing, Surveys, International Finance
Postgraduate Diploma · 6 - 12 Months
O.P. Jindal Global University
Skills you'll gain: Operations Management, Data Storytelling, Design Thinking, Data Visualization, Active Listening, Business Ethics, Working Capital, Database Management, Environmental Social And Corporate Governance (ESG), Project Estimation, Sampling (Statistics), Business Analytics, Financial Statement Analysis, Global Marketing, Financial Accounting, Predictive Analytics, Marketing Planning, Big Data, Regression Analysis, Operations Research
Earn a degree
Degree · 1 - 4 Years
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, Machine Learning Methods, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Classification Algorithms, Statistical Inference, Sampling (Statistics), Statistical Methods, Natural Language Processing, Algorithms
Advanced · Specialization · 3 - 6 Months
Stanford University
Skills you'll gain: Bayesian Network, Applied Machine Learning, Machine Learning Algorithms, Bayesian Statistics, Machine Learning Methods, Markov Model, Machine Learning, Network Model, Statistical Modeling, Classification Algorithms, Network Analysis, Probability Distribution, Statistical Methods, Algorithms, Model Evaluation, Computational Thinking
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
Stanford University
Skills you'll gain: Bayesian Network, Graph Theory, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Probability & Statistics, Network Analysis, Natural Language Processing
Advanced · Course · 1 - 3 Months