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.

Coursera
Skills you'll gain: Model Evaluation, Supervised Learning, Unsupervised Learning, Data Preprocessing, Time Series Analysis and Forecasting, Applied Machine Learning, Machine Learning Algorithms, Feature Engineering, Dimensionality Reduction, Machine Learning, Predictive Modeling, Predictive Analytics, Scikit Learn (Machine Learning Library), Classification Algorithms, Forecasting, Decision Tree Learning, Anomaly Detection, Data Manipulation, Regression Analysis, Statistical Modeling
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Preprocessing, Unsupervised Learning, Model Evaluation, Time Series Analysis and Forecasting, Supervised Learning, Machine Learning, Feature Engineering, Artificial Intelligence, Deep Learning, Classification Algorithms, Statistical Analysis, Predictive Modeling, Regression Analysis
Intermediate · Course · 1 - 4 Weeks

University of California, Davis
Skills you'll gain: Surveys, Statistical Hypothesis Testing, Quantitative Research, Statistical Analysis, Marketing Analytics, Market Research, Data Analysis, Marketing, Target Market, Market Analysis, Regression Analysis, Sample Size Determination, Quality Control
Intermediate · Course · 1 - 4 Weeks

University of Minnesota
Skills you'll gain: Test Automation, Regression Testing, Software Testing, Software Development Tools, Unit Testing, White-Box Testing, Code Coverage, Security Testing, Verification And Validation, Test Case, Test Data, Debugging, Automation, Application Security
Intermediate · Course · 1 - 4 Weeks

University of Maryland, College Park
Skills you'll gain: Data Integration, Data Ethics, R Programming, Surveys, Informed Consent, Statistical Methods, Statistical Analysis, Sampling (Statistics), Regression Analysis, Descriptive Statistics, Logistic Regression
Mixed · Course · 1 - 4 Weeks
University of Illinois Urbana-Champaign
Skills you'll gain: Investments, Portfolio Management, Finance, Return On Investment, Behavioral Economics, Equities, Financial Market, Asset Management, Portfolio Risk, Performance Analysis, Income Tax, Decision Making, Benchmarking
Build toward a degree
Intermediate · Course · 1 - 3 Months

Vanderbilt University
Skills you'll gain: Image Analysis, Data Visualization Software, Matlab, Applied Machine Learning, Scatter Plots, Digital Signal Processing, Data Analysis, Histogram, Predictive Modeling, Data Processing, Classification Algorithms, Regression Analysis
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Feature Engineering, Decision Tree Learning, Applied Machine Learning, Model Evaluation, Random Forest Algorithm, Responsible AI, Data Import/Export, Machine Learning, Classification Algorithms
Beginner · Guided Project · Less Than 2 Hours
University of Glasgow
Skills you'll gain: Data Mining, Deep Learning, Clinical Data Management, Health Informatics, Model Evaluation, Responsible AI, Applied Machine Learning, Machine Learning, Artificial Intelligence, Recurrent Neural Networks (RNNs), Logistic Regression
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Plotly, Model Evaluation, NumPy, Plot (Graphics), Dashboard, Statistics, Pandas (Python Package), Data Analysis, Statistical Analysis, Regression Analysis, Data Manipulation, Python Programming, Analytics, Probability & Statistics, Statistical Methods, Applied Machine Learning, Probability, Data Science, Statistical Modeling, Performance Tuning
Intermediate · Specialization · 3 - 6 Months

Google Cloud
Skills you'll gain: Feature Engineering, Tensorflow, Model Deployment, Google Cloud Platform, Data Quality, Data Preprocessing, Keras (Neural Network Library), Model Evaluation, Scikit Learn (Machine Learning Library), Machine Learning, Embeddings, Exploratory Data Analysis, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Logistic Regression, MLOps (Machine Learning Operations), Responsible AI, Data Pipelines, Artificial Neural Networks
Intermediate · Specialization · 3 - 6 Months

Duke University
Skills you'll gain: Matplotlib, Pandas (Python Package), NumPy, Data Visualization, Data Cleansing, Data Structures, Data Visualization Software, Predictive Analytics, Debugging, Object Oriented Programming (OOP), Data Manipulation, Regression Analysis, Python Programming, Data Science, Algorithms, Simulations, Data Preprocessing, Exploratory Data Analysis, Predictive Modeling, Data Analysis
Beginner · Specialization · 3 - 6 Months