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 Washington
Skills you'll gain: Model Evaluation, Applied Machine Learning, Machine Learning Methods, Feature Engineering, Regression Analysis, Machine Learning, Image Analysis, Machine Learning Algorithms, AI Personalization, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Model Training, Artificial Intelligence, Deep Learning, Computer Vision, Transfer Learning, Application Development, Predictive Modeling, Model Deployment, Python Programming
★ 4.6 (14K) · Mixed · Course · 1 - 3 Months

Skills you'll gain: Time Series Analysis and Forecasting, Exploratory Data Analysis, Financial Forecasting, Model Evaluation, Forecasting, Regression Analysis, Feature Engineering, Data Preprocessing, Advanced Analytics, Statistical Analysis, Predictive Modeling, Predictive Analytics, Correlation Analysis, Analytics, Analysis, Data Modeling, Finance, Business, Performance Analysis, Decision Making
★ 4.7 (65) · Beginner · Specialization · 3 - 6 Months

Skills you'll gain: PyTorch (Machine Learning Library), Fine-tuning, Convolutional Neural Networks, Deep Learning, Natural Language Processing, Embeddings, Hugging Face, Computer Vision, Supervised Learning, Classification Algorithms, Data Preprocessing, Predictive Modeling, Machine Learning, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Statistical Methods, Probability & Statistics, Machine Learning Algorithms
★ 4.4 (2.1K) · Advanced · Specialization · 3 - 6 Months

Kennesaw State University
Skills you'll gain: Six Sigma Methodology, Lean Six Sigma, Root Cause Analysis, Lean Methodologies, Process Improvement, Data Collection, Quality Improvement, Process Optimization, Correlation Analysis, Statistical Hypothesis Testing, Kaizen Methodology, Process Analysis, Process Improvement and Optimization, Probability Distribution, Regression Analysis, Project Design, Quality Assessment, Business Process, Statistical Process Controls, Project Management
★ 4.7 (4.4K) · Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Unsupervised Learning, Exploratory Data Analysis, Autoencoders, Feature Engineering, Dimensionality Reduction, Supervised Learning, Generative AI, Classification Algorithms, Regression Analysis, Time Series Analysis and Forecasting, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Generative Model Architectures, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Data Science, Machine Learning, Python Programming
★ 4.6 (3.7K) · Intermediate · Professional Certificate · 3 - 6 Months

University of Colorado Boulder
Skills you'll gain: Regression Analysis, Statistical Hypothesis Testing, Sample Size Determination, A/B Testing, Statistical Methods, Correlation Analysis, Statistical Inference, Statistical Modeling, Probability & Statistics, Predictive Modeling, Sampling (Statistics), Statistics, Analysis, Statistical Analysis, Predictive Analytics, Exploratory Data Analysis, Business Analytics, Scatter Plots, Model Evaluation, Regression Testing
Beginner · Specialization · 3 - 6 Months

Macquarie University
Skills you'll gain: Software Testing, Software Quality Assurance, Quality Assurance, Software Quality (SQA/SQC), Acceptance Testing, Test Case, Test Automation, Test Planning, Unit Testing, Software Development Life Cycle, Regression Testing, Test Driven Development (TDD), User Acceptance Testing (UAT), Software Engineering, Agile Methodology, Software Documentation, Information Assurance, Regression Analysis, Exploratory Data Analysis, Kanban Principles
Beginner · Course · 1 - 3 Months

University of California San Diego
Skills you'll gain: Apache Spark, Model Evaluation, Apache Hadoop, Data Integration, Exploratory Data Analysis, Big Data, Classification Algorithms, Graph Theory, Data Pipelines, Network Model, Model Training, Database Design, Data Modeling, Regression Analysis, Data Mining, Data Management, Data Infrastructure, Data Presentation, Data Processing, MongoDB
★ 4.6 (14K) · Beginner · Specialization · 3 - 6 Months

Johns Hopkins University
Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Regression Analysis, Bayesian Statistics, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistical Methods, Statistical Modeling, Linear Algebra, Probability, Probability Distribution, R Programming, Biostatistics, Data Analysis, Data Science, Statistics, Mathematical Modeling, Data Modeling, Applied Mathematics
★ 4.4 (800) · Advanced · Specialization · 3 - 6 Months

Johns Hopkins University
Skills you'll gain: Risk Modeling, Operations Research, Regression Analysis, Network Model, Resource Allocation, Excel Macros, Business Analytics, Decision Making, Risk Analysis, Simulation and Simulation Software, Microsoft Excel, Strategic Decision-Making, Data Modeling, Business Modeling, Financial Modeling, Data-Driven Decision-Making, Excel Formulas, Business, Spreadsheet Software, Data Analysis
★ 4.8 (4.1K) · Beginner · Specialization · 3 - 6 Months

Sage Publications
Skills you'll gain: Time Series Analysis and Forecasting, Stata, STATA (Software), Forecasting, Statistical Analysis, Statistical Modeling, Statistical Programming, Data Transformation, Statistical Reporting, Statistical Software, Regression Analysis, Statistical Methods, Advanced Analytics, Data Analysis, Correlation Analysis, Model Evaluation, Dimensionality Reduction, Structural Analysis, Computer Programming
Intermediate · Course · 1 - 3 Months

Imperial College London
Skills you'll gain: Regression Analysis, Calculus, Model Optimization, Mathematical Software, Machine Learning Methods, Numerical Analysis, Applied Machine Learning, Applied Mathematics, Linear Algebra, Artificial Neural Networks, Deep Learning, Mathematical Theory & Analysis, Derivatives
★ 4.7 (5.8K) · Beginner · Course · 1 - 3 Months