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.

New York University
Skills you'll gain: Supervised Learning, Model Evaluation, Applied Machine Learning, Machine Learning, Statistical Methods, Artificial Neural Networks, Predictive Modeling, Scikit Learn (Machine Learning Library), Regression Analysis, Deep Learning, Finance, Financial Market, Tensorflow, Logistic Regression, Jupyter, Reinforcement Learning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Image Analysis, Model Deployment, Google Cloud Platform, Computer Vision, No-Code Development, Feature Engineering, Applied Machine Learning, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Text Mining, Google Sheets, Machine Learning Software, Cloud Deployment, Model Evaluation, Predictive Modeling, Machine Learning, Data Science
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Marketing Analytics, Marketing Effectiveness, A/B Testing, Target Audience, Marketing Strategies, Marketing, Marketing Channel, Marketing Budgets, Customer Insights, Sales Process, Regression Analysis, Forecasting, Data Analysis, Return On Investment
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Regression Testing, Kubernetes, Docker (Software), Feature Engineering, Containerization, Software Documentation, Data Pipelines, Git (Version Control System), Apache Airflow, Technical Documentation, Microservices, CI/CD, Unit Testing, API Design, Performance Metric, Python Programming, Version Control, Verification And Validation
Intermediate · Specialization · 3 - 6 Months

Johns Hopkins University
Skills you'll gain: Biostatistics, Bioinformatics, Exploratory Data Analysis, Statistical Analysis, Statistical Methods, Statistical Hypothesis Testing, Statistics, R Programming, Probability & Statistics, Data Preprocessing, Data Analysis, Statistical Inference, Regression Analysis, Data Pipelines, Data Transformation, Logistic Regression
Mixed · Course · 1 - 4 Weeks

UNSW Sydney (The University of New South Wales)
Skills you'll gain: Systems Engineering, Systems Development, Systems Development Life Cycle, Systems Architecture, System Design and Implementation
Beginner · Course · 1 - 3 Months
University of California San Diego
Skills you'll gain: Statistical Analysis, Experimentation, Usability Testing, Statistical Hypothesis Testing, Data Analysis, Statistical Methods, UI/UX Research, R Programming, User Experience, Human Computer Interaction, Statistics, Data Validation, Statistical Modeling, Regression Analysis, Logistic Regression
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Jira (Software), Issue Tracking, Backlogs, Quality Assurance, Test Case, Verification And Validation, Generative AI Agents, Software Testing, User Story, Regression Testing, Business Reporting, Dashboard, Software Documentation, Technical Communication, Analytical Testing, Automation, Data Import/Export
Beginner · Course · 1 - 3 Months

Skills you'll gain: Logistic Regression, SAS (Software), Predictive Modeling, Model Evaluation, Statistical Hypothesis Testing, Statistical Analysis, Correlation Analysis, Statistical Modeling, Regression Analysis, Statistical Methods, Probability & Statistics, Classification And Regression Tree (CART), Big Data, Plot (Graphics), Data Analysis, Model Deployment, Statistical Inference, Data Preprocessing, Statistical Machine Learning, Feature Engineering
Intermediate · Professional Certificate · 3 - 6 Months

Coursera
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Unsupervised Learning, Scikit Learn (Machine Learning Library), PyTorch (Machine Learning Library), Convolutional Neural Networks, Exploratory Data Analysis, Deep Learning, Microsoft Azure, Data Visualization, Classification Algorithms, Applied Machine Learning, Regression Analysis, Predictive Modeling, Data Analysis, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Data Science, MLOps (Machine Learning Operations), Transfer Learning, Machine Learning, Tensorflow
Intermediate · Course · 1 - 4 Weeks

The Hong Kong University of Science and Technology
Skills you'll gain: Linear Algebra, Engineering Calculations, Algebra, Engineering Analysis, General Mathematics, Advanced Mathematics, Applied Mathematics, Arithmetic, Computational Logic
Beginner · Course · 1 - 4 Weeks