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 Leeds
Skills you'll gain: Data Ethics, Data Presentation, Regression Analysis, Web Scraping, Data Storytelling, Statistical Hypothesis Testing, Matplotlib, Bayesian Statistics, Data Analysis, Statistical Machine Learning, Model Evaluation, Exploratory Data Analysis, Classification And Regression Tree (CART), Network Analysis, Statistical Methods, Data Visualization, Applied Machine Learning, Statistical Modeling, Data Preprocessing, Linear Algebra
Earn a degree
Degree · 1 - 4 Years

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

Pontificia Universidad Católica de Chile
Skills you'll gain: Model Evaluation, Predictive Analytics, Data Cleansing, Unsupervised Learning, Exploratory Data Analysis, Supervised Learning, Predictive Modeling, Dimensionality Reduction, Data Science, Descriptive Analytics, Plot (Graphics), Data Analysis, Pandas (Python Package), Regression Analysis, Matplotlib, Data Visualization, Visualization (Computer Graphics), Data-Driven Decision-Making, 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: 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