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.

Skills you'll gain: Analytical Skills, Analytics, Data Visualization, Scientific Visualization, Trend Analysis, Data-Driven Decision-Making, Business Analytics, Statistical Analysis, Financial Modeling, Data Storytelling, Statistical Modeling, Predictive Modeling, Python Programming, Data Wrangling
Beginner · Course · 1 - 4 Weeks

University of Minnesota
Skills you'll gain: Predictive Modeling, Predictive Analytics, Business Analytics, Customer Analysis, Project Design, Advanced Analytics, Machine Learning Methods, Applied Machine Learning, Business Analysis, Solution Design, Sprint Planning, Machine Learning, Brainstorming, Trend Analysis, Design Thinking, Analysis, Ideation, Decision Tree Learning, Deep Learning, Quality Control
Beginner · Course · 1 - 3 Months

Skills you'll gain: Dataflow, Data Pipelines, Debugging, Google Cloud Platform, System Monitoring, Site Reliability Engineering, Code Reusability, Data Integrity, CI/CD, Data Processing, Unit Testing, Performance Tuning, Disaster Recovery
Advanced · Course · 1 - 3 Months

Skills you'll gain: Supervised Learning, Data Preprocessing, Machine Learning, Time Series Analysis and Forecasting, Applied Machine Learning, Data Quality, Unsupervised Learning, Feature Engineering, Model Evaluation, Classification Algorithms, Regression Analysis
Beginner · Course · 1 - 4 Weeks

Arizona State University
Skills you'll gain: Bayesian Statistics, Statistical Modeling, Bayesian Network, Statistical Methods, Statistical Analysis, Data Analysis, R (Software), Statistical Programming, R Programming, Data-Driven Decision-Making, Statistical Inference, Markov Model, Network Model, Simulations, Sampling (Statistics), Probability Distribution, Dependency Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Classification And Regression Tree (CART), Model Evaluation, Predictive Analytics, Predictive Modeling, Decision Tree Learning, Data Preprocessing, Applied Machine Learning, Data-Driven Decision-Making, Marketing Analytics, Data-Driven Marketing, Classification Algorithms, Model Optimization, Model Training, Marketing, Fine-tuning
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: SAS (Software), Statistical Modeling, Statistical Programming, Statistical Software, Regression Analysis, Statistical Analysis, Model Evaluation, Predictive Modeling, Statistical Methods, Probability Distribution
Mixed · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Marketing Analytics, Dashboard Creation, Marketing Budgets, Dashboard, Data-Driven Marketing, Regression Analysis, Marketing Effectiveness, Data-Driven Decision-Making, Statistical Reporting, Data Literacy, Analytics, Statistical Analysis, Statistical Methods, Marketing Strategies, Data Presentation, Data Analysis, Return On Investment, Data Visualization, Data Storytelling, Budgeting
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Model Training, Model Optimization, Model Deployment, Data Preprocessing, AI Workflows, Fine-tuning, Classification Algorithms
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, AI Product Strategy, AI Workflows, Generative AI Agents, LangGraph, BeeAI, Machine Learning Methods, Machine Learning Algorithms, Machine Learning, Data Preprocessing, Supervised Learning, ChatGPT, Agentic Workflows, Applied Machine Learning, Product Management, Artificial Intelligence, OpenAI, Python Programming, Model Evaluation, Agentic systems
Intermediate · Course · 1 - 3 Months

Northeastern University
Skills you'll gain: Text Mining, Data Mining, Time Series Analysis and Forecasting, Classification Algorithms, Artificial Neural Networks, Trend Analysis, Unstructured Data, Regression Analysis, Machine Learning Algorithms, Supervised Learning, Feature Engineering, Unsupervised Learning, Predictive Modeling, Forecasting, Deep Learning, Data Preprocessing
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Machine Learning Methods, Autoencoders, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Scientific Visualization, Classification Algorithms, Model Training, Model Evaluation
Intermediate · Course · 1 - 4 Weeks