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.

Universidad de los Andes
Skills you'll gain: Supervised Learning, Unsupervised Learning, Classification Algorithms, Dimensionality Reduction, Anomaly Detection, Artificial Intelligence, Embedded Systems, Linear Algebra, Machine Learning, Probability & Statistics, Regression Analysis, Model Evaluation, Data Ethics, Image Analysis, Computer Vision, Responsible AI, Applied Machine Learning, Machine Learning Algorithms, Decision Tree Learning, Probability Distribution
Credit offered
Mastertrack · 6 - 12 Months

O.P. Jindal Global University
Skills you'll gain: Correlation Analysis, Research Design, Regression Analysis, Social Sciences, Psychology, Research, Mental Health Diseases and Disorders, Cognitive Behavioral Therapy, Social Skills, Statistical Methods, Research Methodologies, Interpersonal Communications, Statistical Hypothesis Testing, Scientific Methods, Decision Making, Analysis, Physiology, Personal Development, Emotional Intelligence, Mental Health
Earn a degree
Degree · 1 - 4 Years

Pontificia Universidad Católica de Chile
Skills you'll gain: Model Evaluation, Predictive Analytics, Data Cleansing, Unsupervised Learning, Matplotlib, Exploratory Data Analysis, Supervised Learning, Data Visualization, Dimensionality Reduction, Descriptive Analytics, Plot (Graphics), Data Analysis, Visualization (Computer Graphics), Pandas (Python Package), Data-Driven Decision-Making, Time Series Analysis and Forecasting, Data Science, Regression Analysis, Applied Machine Learning, Data Visualization Software
Credit offered
Mastertrack · 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: Model Evaluation, Feature Engineering, Data Preprocessing, Financial Data, Predictive Modeling, Customer Demand Planning, Data-Driven Decision-Making, Exploratory Data Analysis, R Programming, Customer Analysis, Predictive Analytics, Profit and Loss (P&L) Management, Risk Modeling, Inventory Management System, Analytics, Advanced Analytics, Supply Chain Management, Business Analytics, Machine Learning, Business
Beginner · Specialization · 1 - 3 Months

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