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 Illinois Urbana-Champaign
Skills you'll gain: Matplotlib, Plot (Graphics), Pandas (Python Package), Seaborn, SQL, Scientific Visualization, Data Visualization, Data Preprocessing, Jupyter, Data Manipulation, NumPy, Data-Driven Decision-Making, Regression Analysis, Accounting, Applied Machine Learning, Data Processing, Database Management, Query Languages, Data Compilation, Python Programming
Build toward a degree
Intermediate · Course · 1 - 3 Months

University of Pennsylvania
Skills you'll gain: Portfolio Management, Financial Modeling, Data Presentation, Presentations, Microsoft PowerPoint, Business Modeling, Data Modeling, Quantitative Research, Business Analytics, Financial Data, Portfolio Risk, Spreadsheet Software, Investments, Return On Investment, Microsoft Excel, Finance, Financial Analysis, Regression Analysis, Model Optimization
Mixed · Course · 1 - 3 Months

Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Applied Machine Learning, Predictive Modeling, Data Presentation, Machine Learning, Collaborative Software, Data Analysis, Predictive Analytics, Technical Communication, Machine Learning Algorithms, Statistical Analysis, Scikit Learn (Machine Learning Library), Keras (Neural Network Library), Descriptive Statistics, Regression Analysis, Python Programming, Text Mining, Artificial Neural Networks
Advanced · Course · 1 - 3 Months

Coursera
Skills you'll gain: Financial Modeling, Descriptive Statistics, Data Literacy, Financial Forecasting, Reconciliation, Financial Analysis, A/B Testing, Portfolio Risk, Model Evaluation, Data Cleansing, Classification And Regression Tree (CART), Regression Analysis, Exploratory Data Analysis, Predictive Modeling, Data Analysis, Risk Analysis, Risk Management, R Programming, Statistical Analysis, Machine Learning
Intermediate · Specialization · 3 - 6 Months

ESSEC Business School
Skills you'll gain: Data-Driven Marketing, Marketing Analytics, Customer Analysis, Marketing Strategies, Business Analytics, Statistical Programming, Customer Insights, R Programming, R (Software), Customer Data Management, Data-Driven Decision-Making, Data Analysis Software, Target Market, Predictive Analytics, Statistical Analysis, Statistical Modeling, Predictive Modeling, Statistical Methods
Mixed · Course · 1 - 3 Months

New York University
Skills you'll gain: Supervised Learning, Machine Learning Methods, Dimensionality Reduction, Unsupervised Learning, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Machine Learning, Machine Learning Software, Financial Trading, Financial Market, Reinforcement Learning, Scikit Learn (Machine Learning Library), Financial Services, Market Data, Correlation Analysis, Exploratory Data Analysis, Portfolio Management, Python Programming, Artificial Neural Networks
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Apache Spark, Machine Learning, Generative AI, Model Evaluation, Supervised Learning, Apache Hadoop, Data Pipelines, Unsupervised Learning, Data Processing, Extract, Transform, Load, Predictive Modeling, Model Deployment, Classification Algorithms, Data Transformation, Regression Analysis
Intermediate · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Unsupervised Learning, Regression Analysis, Classification Algorithms, Applied Machine Learning, Machine Learning Methods, Dimensionality Reduction, Anomaly Detection, Supervised Learning, Analytical Skills, Model Evaluation, Machine Learning Algorithms, Data Analysis, Data Preprocessing, Predictive Modeling, Statistical Analysis, Logistic Regression, Model Training, Statistical Machine Learning, Machine Learning, Data Mining
Intermediate · Specialization · 3 - 6 Months

University of Colorado Boulder
Skills you'll gain: Recurrent Neural Networks (RNNs), Generative AI, Fine-tuning, Model Training, Vision Transformer (ViT), Model Optimization, Large Language Modeling, Embeddings, Network Architecture
Intermediate · Specialization · 3 - 6 Months

University of California, Irvine
Skills you'll gain: Social Media Analytics, Analytical Skills, Data Ethics, Predictive Modeling, Model Evaluation, Unsupervised Learning, Natural Language Processing, Predictive Analytics, Regression Analysis, Data Mining, Data Science, Social Media, Text Mining, Anomaly Detection, Business Analytics, Decision Tree Learning, Big Data, Analytics, Supervised Learning, Cloud Computing
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Statistical Process Controls, Statistical Hypothesis Testing, Lean Methodologies, Process Improvement, Six Sigma Methodology, Kaizen Methodology, Lean Six Sigma, Benchmarking, Process Capability, Risk Analysis, Quality Improvement, Process Improvement and Optimization, Process Analysis, Team Performance Management, Statistical Analysis, Continuous Improvement Process, Team Leadership, Team Management, Root Cause Analysis, Regression Analysis
Intermediate · Specialization · 1 - 3 Months
Emory University
Skills you'll gain: Customer Analysis, Customer Demand Planning, Marketing Analytics, Demand Planning, Forecasting, Consumer Behaviour, Data-Driven Marketing, Customer Insights, Marketing Effectiveness, Model Evaluation, Revenue Forecasting, Time Series Analysis and Forecasting, Microsoft Excel, Marketing, Regression Analysis, Customer Acquisition Management, Marketing Management, Excel Formulas, Marketing Budgets, Customer Retention
Intermediate · Course · 1 - 4 Weeks