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: Statistical Hypothesis Testing, Clinical Research, Clinical Data Management, Data Analysis, Analytics, Machine Learning Methods, Healthcare Ethics, Data Literacy, Health Informatics, Regression Analysis, Descriptive Analytics, Predictive Analytics, Machine Learning Software, Supervised Learning, Statistical Analysis, Data Analysis Software, Statistics, Statistical Machine Learning, Decision Tree Learning, Random Forest Algorithm
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: NumPy, Descriptive Statistics, Model Evaluation, Feature Engineering, Probability & Statistics, Supervised Learning, Statistical Hypothesis Testing, Exploratory Data Analysis, Box Plots, Regression Analysis, Statistics, Predictive Modeling, Time Series Analysis and Forecasting, Data Science, Statistical Programming, Histogram, Statistical Analysis, Database Application, Database Software, Python Programming
★ 4.6 (39) · Beginner · Specialization · 3 - 6 Months

S.P. Jain Institute of Management and Research
Skills you'll gain: Descriptive Statistics, Data Analysis, Analytics, Analysis, Quantitative Research, Sampling (Statistics), Probability & Statistics, Data Literacy, Data Analysis Software, Descriptive Analytics, Business Analytics, Analytical Skills, Business Mathematics, Statistical Analysis, Statistics, Business Research, Regression Analysis, Data-Driven Decision-Making, Statistical Methods, Statistical Hypothesis Testing
★ 4.5 (25) · Beginner · Course · 1 - 3 Months

Coursera
Skills you'll gain: Supervised Learning, Model Optimization, Model Training, Applied Machine Learning, Statistical Machine Learning, Classification And Regression Tree (CART), Machine Learning Methods, Decision Tree Learning, Predictive Modeling, Machine Learning, Fine-tuning, Machine Learning Algorithms, Model Evaluation, Logistic Regression, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Random Forest Algorithm, Classification Algorithms
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Prompt Engineering, Lean Six Sigma, Six Sigma Methodology, Process Improvement and Optimization, Risk Management, Risk Management Framework, Regression Analysis, Risk Modeling, Risk Analysis, Statistics, Quality Improvement, Statistical Methods, Process Improvement, Process Analysis, Probability & Statistics, Continuous Improvement Process, Pareto Chart, Corrective and Preventive Action (CAPA), Service Improvement, Business Process Automation
★ 4.5 (17) · Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Splunk, Data Modeling, Role-Based Access Control (RBAC), System Monitoring, Model Training, Incident Response, User Accounts, Machine Learning Methods, Security Information and Event Management (SIEM), Machine Learning Software, User Provisioning, Model Evaluation, Authorization (Computing), Event Monitoring, Systems Administration, Performance Tuning, Data Visualization, Threat Detection, Identity and Access Management, Security Management
★ 4.8 (51) · Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Keras (Neural Network Library), Tensorflow, Model Training, Applied Machine Learning, Convolutional Neural Networks, Deep Learning, Model Optimization, Machine Learning, Computer Vision
★ 4.7 (78) · Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Model Evaluation, Unsupervised Learning, Deep Learning, Machine Learning Methods, Autoencoders, Anomaly Detection, Machine Learning Algorithms, Applied Machine Learning, Model Training, Machine Learning, Machine Learning Software, Supervised Learning, Decision Tree Learning, Predictive Modeling, Data Validation, Classification Algorithms, Random Forest Algorithm, Data Import/Export, Model Optimization, Data Manipulation
★ 4.5 (74) · Intermediate · Course · 1 - 3 Months

Birla Institute of Technology & Science, Pilani
Skills you'll gain: Feature Engineering, Data Ethics, Exploratory Data Analysis, Analytics, Data Analysis, Machine Learning Algorithms, Data Preprocessing, Unsupervised Learning, Data Cleansing, Data Science, NumPy, Data Manipulation, Data Transformation, Data Structures, Pandas (Python Package), Dimensionality Reduction, Classification Algorithms, Python Programming, Regression Analysis, Data Visualization
Intermediate · Course · 1 - 3 Months

Birla Institute of Technology & Science, Pilani
Skills you'll gain: Data Analysis, Statistical Analysis, Statistical Methods, Analysis, Quantitative Research, Data Visualization, Predictive Modeling, Applied Mathematics
★ 4.3 (12) · Beginner · Course · 1 - 3 Months

Dartmouth College
Skills you'll gain: Predictive Modeling, Analytics, Predictive Analytics, Advanced Analytics, Scikit Learn (Machine Learning Library), Model Evaluation, Digital Transformation, Business Analytics, Model Training, Ethical Standards And Conduct, Data Ethics, Data-Driven Decision-Making, Feature Engineering, Applied Machine Learning, Statistical Machine Learning, Statistical Modeling, Data Strategy, Regression Analysis, Supervised Learning, Model Optimization
Intermediate · Course · 1 - 3 Months

University of Maryland, College Park
Skills you'll gain: Data Integration, R (Software), Data Synthesis, Data Ethics, R Programming, Informed Consent, Data Sharing, Statistical Methods, Sampling (Statistics), Statistical Modeling, Descriptive Statistics, Logistic Regression, Information Privacy
Mixed · Course · 1 - 4 Weeks