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 Virginia
Skills you'll gain: Marketing Analytics, Data-Driven Marketing, Marketing Effectiveness, Customer Analysis, Data-Driven Decision-Making, Marketing Strategies, Brand Management, Marketing, Regression Analysis, Analytics, Customer Retention, Consumer Behaviour, Case Studies, Return On Investment, Statistical Analysis, A/B Testing
Beginner · Course · 1 - 3 Months

Skills you'll gain: Hedge Accounting, Derivatives, Private Equity, Portfolio Risk, Risk Modeling, Loans, Risk Management, Regression Analysis, Accounting, Fund Accounting, Lending and Underwriting, Risk Analysis, Investment Management, Accounting Records, Revenue Recognition, Financial Reporting, Financial Accounting, Equities, Performance Measurement, Portfolio Management
Beginner · Specialization · 3 - 6 Months

University of Glasgow
Skills you'll gain: Model Training, Model Evaluation, Data Preprocessing, Machine Learning Methods, Statistical Methods, Statistical Machine Learning, Data Validation, Data Quality, Mathematical Software, Classification Algorithms, Machine Learning Algorithms
Beginner · Course · 1 - 3 Months

Skills you'll gain: Model Optimization, Tensorflow, Artificial Neural Networks, Applied Machine Learning, Deep Learning, Keras (Neural Network Library), Recurrent Neural Networks (RNNs), Classification Algorithms, Image Analysis, Convolutional Neural Networks, Model Training, Machine Learning, NumPy, Regression Analysis, Network Architecture
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Rmarkdown, Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Model Evaluation, R (Software), Artificial Intelligence and Machine Learning (AI/ML), Data Import/Export, Classification Algorithms, Reinforcement Learning, R Programming, Machine Learning Methods, Model Training, Ggplot2, Plot (Graphics), Data Manipulation, Convolutional Neural Networks, Machine Learning Algorithms
Beginner · Specialization · 3 - 6 Months
Sungkyunkwan University
Skills you'll gain: Data Processing, Data Preprocessing, Portfolio Management, Investment Management, Machine Learning Methods, Classification And Regression Tree (CART), Investments, Machine Learning Algorithms, Applied Machine Learning, R Programming, Feature Engineering, Machine Learning, Financial Modeling, Predictive Modeling, Decision Tree Learning, Model Optimization, Asset Management, Statistical Programming
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Feature Engineering, Time Series Analysis and Forecasting, Applied Machine Learning, Machine Learning Algorithms, Model Training, Risk Modeling, Predictive Modeling, Statistical Methods, Predictive Analytics, Credit Risk, Supervised Learning, Statistical Modeling, Unsupervised Learning, Machine Learning Methods, Machine Learning, Python Programming, Logistic Regression
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Time Series Analysis and Forecasting, Financial Forecasting, Forecasting, Predictive Modeling, R Programming, Predictive Analytics, Regression Analysis, Business Analytics, Trend Analysis, Statistical Analysis, Statistical Modeling, Statistical Methods, Correlation Analysis, Model Evaluation
Mixed · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Model Evaluation, Applied Machine Learning, Unsupervised Learning, Decision Tree Learning, Artificial Neural Networks, Machine Learning Methods, Classification Algorithms, Supervised Learning, Statistical Machine Learning, Machine Learning Algorithms, Random Forest Algorithm, Predictive Modeling, Applied Mathematics, Dimensionality Reduction, Statistics
Build toward a degree
Intermediate · Course · 1 - 4 Weeks

American Psychological Association
Skills you'll gain: Sample Size Determination, Statistical Hypothesis Testing, Statistical Methods, Statistical Reporting, Quantitative Research, Statistical Analysis, Probability & Statistics, Sampling (Statistics), Statistical Inference, Descriptive Statistics, Statistics, Probability Distribution, Data Analysis, Regression Analysis, Research Design, Research, Psychology
Beginner · Course · 1 - 3 Months

University of Minnesota
Skills you'll gain: Social Determinants Of Health, Health Disparities, Scatter Plots, Climate Change Programs, Environmental Science, Data Analysis, Health Education, Health Equity, Environmental Issue, Data Literacy, Regression Analysis, Health Promotion, Systems Thinking, Social Impact, Public Health and Disease Prevention, Public Health, Sustainable Development, Health Informatics, Community Organizing, Data Visualization
Beginner · Course · 1 - 3 Months

Skills you'll gain: Feature Engineering, Data Visualization Software, Data Cleansing, Classification And Regression Tree (CART), Random Forest Algorithm, Decision Tree Learning, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Data Wrangling, Data Preprocessing, Data Science, Model Training, Machine Learning, Machine Learning Algorithms, Python Programming
Beginner · Guided Project · Less Than 2 Hours