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, Model Evaluation, Classification Algorithms, Dimensionality Reduction, Anomaly Detection, Artificial Intelligence, Embedded Systems, Machine Learning, Regression Analysis, Probability & Statistics, Data Ethics, Image Analysis, Machine Learning Methods, Computer Vision, Responsible AI, Applied Machine Learning, Linear Algebra, Autoencoders, Bayesian Statistics
Credit offered
Mastertrack · 6 - 12 Months

Universidad de los Andes
Skills you'll gain: Design Thinking, Reinforcement Learning, Environmental Social And Corporate Governance (ESG), Organizational Strategy, Classification Algorithms, Engineering Management, Technology Strategies, Project Management, Deep Learning, Feasibility Studies, Infrastructure Security, Financial Statements, Logistic Regression, Systems Thinking, Product Development, Asset Management, Environmental Management Systems, Data Ethics, Climate Change Mitigation, Project Risk Management
Earn a degree
Degree · 1 - 4 Years

John Wiley & Sons
Skills you'll gain: Predictive Analytics, Patient Safety, Patient Flow, Patient-centered Care, Hospital Experience, Healthcare Project Management, Clinical Leadership, Pain Management, Nursing and Patient Care, Care Management, Health Care, Predictive Modeling, Data-Driven Decision-Making, Data Storytelling, Nursing Management, Value-Based Care, Healthcare Industry Knowledge, Health Technology, Data Science, Machine Learning
Intermediate · Specialization · 3 - 6 Months
Stanford University
Skills you'll gain: Bayesian Network, Machine Learning Methods, Statistical Inference, Markov Model, Statistical Machine Learning, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Probability Distribution, Machine Learning Algorithms
Advanced · Course · 1 - 3 Months
Stanford University
Skills you'll gain: Bayesian Network, Applied Machine Learning, Machine Learning Algorithms, Bayesian Statistics, Machine Learning Methods, Markov Model, Statistical Machine Learning, Machine Learning, Network Model, Unsupervised Learning, Model Training, Probability Distribution, Model Optimization, Statistical Methods, Probability & Statistics, Algorithms
Advanced · Course · 1 - 3 Months
Stanford University
Skills you'll gain: Bayesian Network, Applied Machine Learning, Decision Intelligence, Bayesian Statistics, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Machine Learning Methods, Markov Model, Machine Learning, Unsupervised Learning, Probability & Statistics, Network Analysis, Statistical Inference, Model Training, Statistical Machine Learning, Model Optimization, Sampling (Statistics)
Advanced · Specialization · 3 - 6 Months

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

Skills you'll gain: Descriptive Statistics, Data Analysis, Predictive Modeling, Predictive Analytics, Data Literacy, Statistical Modeling, Statistical Hypothesis Testing, Exploratory Data Analysis, Data-Driven Decision-Making, Descriptive Analytics, Customer Analysis, Statistical Machine Learning, Data Science, Model Evaluation, Scikit Learn (Machine Learning Library), Statistical Analysis, Feature Engineering, Data Visualization, Statistical Inference, Supervised Learning
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Feature Engineering, Data Preprocessing, Demand Planning, 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, Inventory and Warehousing, Analytics, Data Processing, Data Wrangling, Advanced Analytics, Machine Learning, Business
Beginner · Specialization · 1 - 3 Months