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: Tidyverse (R Package), Rmarkdown, Predictive Modeling, Model Evaluation, File Management, R (Software), Data Governance, Responsible AI, Data Manipulation, R Programming, Research Reports, Metadata Management, Data Quality, Predictive Analytics, Data Wrangling, Data Ethics, Business Research, Statistical Reporting, Market Research, Statistical Analysis
Beginner · Course · 1 - 3 Months

Skills you'll gain: Minitab, Process Capability, Statistical Process Controls, Statistical Hypothesis Testing, Data Visualization, Descriptive Statistics, Statistical Analysis, Statistical Software, Plot (Graphics), Statistics, Sampling (Statistics), Statistical Visualization, Process Analysis, Probability & Statistics, Probability Distribution, Statistical Modeling, Data Analysis, Statistical Methods, Performance Analysis, Exploratory Data Analysis
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: AI Orchestration, AI Workflows, Software Testing, AI Integrations, Jenkins, Azure DevOps Pipelines, Test Engineering, Azure DevOps, Continuous Deployment
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Supervised Learning, Data Preprocessing, Random Forest Algorithm, Applied Machine Learning, Model Optimization, Model Training, Data Processing, Machine Learning Methods, Decision Tree Learning, Machine Learning Algorithms, Classification Algorithms, Analysis, Python Programming
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Data Analysis, Data Preprocessing, Model Evaluation, Data Wrangling, Data Import/Export, Data Transformation, Predictive Modeling, Applied Machine Learning, Predictive Analytics, Statistical Methods, Regression Analysis, Model Training, Model Optimization, Artificial Neural Networks
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Risk Modeling, Risk Management, Bank Regulations, Financial Regulations, Operational Risk, Risk Analysis, Supplier Risk Management, Hedge Accounting, Business Continuity, Business Risk Management, Financial Analysis, Financial Systems, Performance Stress Testing, Applied Machine Learning, Machine Learning Methods
Mixed · Course · 1 - 3 Months
Coursera
Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Classification Algorithms, Applied Machine Learning, Java Programming, Machine Learning Algorithms, Algorithms, Machine Learning, Data Structures, Analysis, Software Engineering
Advanced · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Classification And Regression Tree (CART), Model Deployment, Model Optimization, Decision Tree Learning, Predictive Modeling, Model Evaluation, Model Training, Predictive Analytics, Machine Learning Methods, Random Forest Algorithm, Applied Machine Learning, Data-Driven Decision-Making, Performance Tuning, Feasibility Studies, Scikit Learn (Machine Learning Library), Data Visualization, Performance Analysis, Statistical Methods, Cost Benefit Analysis, Performance Measurement
Intermediate · Course · 1 - 4 Weeks

Pragmatic AI Labs
Skills you'll gain: GitHub Copilot, Model Context Protocol, Multimodal Prompts, Prompt Engineering, AI Workflows, AI Integrations, Generative AI, Test Automation, Software Documentation, Web Development Tools, Context Management, Development Environment, Artificial Intelligence
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Supervised Learning, R Programming, Machine Learning Methods, Applied Machine Learning, R (Software), Classification Algorithms, Statistical Machine Learning, Data Wrangling, Machine Learning Algorithms, Tidyverse (R Package), Machine Learning, Data Science, Ggplot2, Classification And Regression Tree (CART), Feature Engineering, Machine Learning Software, Data Preprocessing, Statistical Programming
Beginner · Course · 1 - 3 Months

Northeastern University
Skills you'll gain: PyTorch (Machine Learning Library), Applied Machine Learning, Unsupervised Learning, Reinforcement Learning, Supervised Learning, Machine Learning Algorithms, Machine Learning Methods, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Deep Learning, Decision Tree Learning, Autoencoders, Model Optimization
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Data Preprocessing, Model Optimization, People Analytics, Model Training, Workforce Management, Classification Algorithms
Mixed · Course · 1 - 4 Weeks