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: Marketing Analytics, Data-Driven Marketing, Marketing Effectiveness, A/B Testing, Target Audience, Marketing Strategies, Marketing, Marketing Planning, Marketing Strategy and Techniques, Online Advertising, Customer Analysis, Conversion Funnel Analysis, Marketing Channel, Advertising Campaigns, Persona Development, Customer Insights, Regression Analysis, Model Evaluation, Data Analysis, Descriptive Analytics
★ 4.7 (298) · Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Marketing Budgets, Data-Driven Marketing, Demand Planning, Campaign Planning, Performance marketing, Budget Management, Promotions and Campaigns, Trend Analysis, Spreadsheet Software, Budgeting, Excel Formulas, Predictive Modeling, Predictive Analytics, Performance Analysis, Promotional Strategies, Anomaly Detection, Statistical Methods, Data Analysis, Regression Analysis, Data Cleansing
Beginner · Course · 1 - 4 Weeks

University of Amsterdam
Skills you'll gain: Lean Six Sigma, Data Visualization, Statistical Hypothesis Testing, Minitab, Statistical Visualization, Six Sigma Methodology, Regression Analysis, Probability Distribution, Statistical Methods, Descriptive Statistics, Data Analysis, Histogram, Lean Methodologies, Statistical Analysis, Statistical Software, Statistical Modeling, Probability & Statistics, Data-Driven Decision-Making, Analytics, Statistics
★ 4.8 (3.5K) · Beginner · Course · 1 - 3 Months

Illinois Tech
Skills you'll gain: Machine Learning Algorithms, Model Evaluation, Statistical Analysis, Bayesian Statistics, Data Visualization, Statistical Inference, Exploratory Data Analysis, Statistical Methods, Data Presentation, Analysis, Probability & Statistics, Data Cleansing, Applied Machine Learning, Regression Analysis, Analytics, Statistical Programming, Data Analysis, Logistic Regression, Machine Learning, Verification And Validation
★ 4.5 (50) · Intermediate · Specialization · 3 - 6 Months

Northeastern University
Skills you'll gain: Statistical Analysis, Statistical Methods, Statistical Hypothesis Testing, Dimensionality Reduction, Statistics, Probability & Statistics, Linear Algebra, Statistical Inference, Digital Signal Processing, Biological Engineering, Image Analysis, Experimentation, Biomedical Engineering, Applied Mathematics, Regression Analysis, Feature Engineering, Unsupervised Learning, Data Transformation
Beginner · Course · 1 - 4 Weeks

Microsoft
Skills you'll gain: Unsupervised Learning, Microsoft Azure, Applied Machine Learning, Machine Learning Software, Model Training, Regression Analysis, Predictive Modeling, Machine Learning, No-Code Development, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Model Deployment, Artificial Intelligence, Classification Algorithms, Supervised Learning
★ 4.4 (297) · Beginner · Course · 1 - 4 Weeks

University of California San Diego
Skills you'll gain: Supervised Learning, Feature Engineering, Predictive Modeling, Predictive Analytics, Data Manipulation, Statistical Machine Learning, Classification Algorithms, Machine Learning Methods, Statistical Modeling, Design Thinking, Scikit Learn (Machine Learning Library), Data Cleansing, Model Training, Regression Analysis, Data Processing, Model Optimization, Tensorflow, Logistic Regression
★ 4.5 (123) · Intermediate · Course · 1 - 3 Months

Multiple educators
Skills you'll gain: Tensorflow, Keras (Neural Network Library), Machine Learning Methods, Model Evaluation, Machine Learning, Google Cloud Platform, Model Training, Machine Learning Algorithms, Financial Trading, Reinforcement Learning, Recurrent Neural Networks (RNNs), Supervised Learning, Data Pipelines, Machine Learning Software, Time Series Analysis and Forecasting, Applied Machine Learning, Statistical Machine Learning, Model Optimization, Deep Learning, Portfolio Management
★ 3.8 (1.2K) · Intermediate · Specialization · 1 - 3 Months

University of California San Diego
Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Apache Spark, Classification Algorithms, Big Data, Model Training, Regression Analysis, Data Mining, Applied Machine Learning, Data Preprocessing, Machine Learning Methods, Statistical Analysis, Machine Learning Software, Machine Learning, Data Analysis, Unsupervised Learning, Machine Learning Algorithms, Data Wrangling, Descriptive Statistics, Data Transformation
★ 4.6 (2.5K) · Mixed · Course · 1 - 3 Months

ESSEC Business School
Skills you'll gain: Data-Driven Marketing, Marketing Analytics, Business Analytics, Statistical Programming, Forecasting, Peer Review, Statistical Methods, Data Presentation, Predictive Analytics, Customer Analysis, Case Studies, R (Software), Information Technology, Analytical Skills, Digital Transformation, Business Marketing, Advanced Analytics, Complex Problem Solving, Analysis, R Programming
★ 4.4 (1.3K) · Advanced · Specialization · 3 - 6 Months

Fractal Analytics
Skills you'll gain: Model Evaluation, Model Deployment, Applied Machine Learning, Machine Learning, Machine Learning Methods, Supervised Learning, Regression Analysis, Decision Tree Learning, Machine Learning Algorithms, Model Training, Feature Engineering, Data Preprocessing, Unsupervised Learning, Predictive Modeling, Model Optimization, Logistic Regression, Anomaly Detection, Classification Algorithms
★ 4.5 (14) · Beginner · Course · 1 - 3 Months

Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data Manipulation, Applied Machine Learning, NumPy, Statistical Machine Learning, Classification Algorithms, Data Preprocessing, Data Processing, Data Wrangling, Python Programming, Regression Analysis, Predictive Modeling, Machine Learning Algorithms, Machine Learning, Model Evaluation, Data Science, Statistical Hypothesis Testing
★ 3.7 (61) · Beginner · Course · 1 - 4 Weeks