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: Dataflow, Data Pipelines, Debugging, Site Reliability Engineering, Data Integrity, CI/CD, Performance Tuning, Data Processing, Event Monitoring, Unit Testing, Metadata Management, Disaster Recovery, Integration Testing
Advanced · Course · 1 - 3 Months
Coursera
Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Classification Algorithms, Java, Java Programming, Machine Learning Algorithms, Supervised Learning, Algorithms, Machine Learning, Data Structures, Software Engineering
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Test Automation, Test Execution Engine, System Testing, Software Testing, Regression Testing, Test Case, CI/CD, Integration Testing, Maintainability, Automation, Test Data, Quality Assurance, Scalability, SAP Applications
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Test Case, Test Automation, Test Execution Engine, Regression Testing, CI/CD, API Testing, Continuous Integration, Continuous Deployment, No-Code Development, Test Planning, Test Data, Maintainability, Debugging, Scalability
Advanced · Course · 1 - 4 Weeks
Skills you'll gain: Random Forest Algorithm, Decision Tree Learning, Data Preprocessing, Applied Machine Learning, Jupyter, Classification Algorithms, Java, Sampling (Statistics), Feature Engineering, Model Evaluation, Supervised Learning, Predictive Modeling, Machine Learning, Learning Styles, Program Evaluation, Program Implementation
Intermediate · Course · 1 - 4 Weeks

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

Northeastern University
Skills you'll gain: PyTorch (Machine Learning Library), Unsupervised Learning, Reinforcement Learning, Supervised Learning, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Transfer Learning, Decision Tree Learning, Classification Algorithms, Random Forest Algorithm, Autoencoders, Predictive Modeling, Feature Engineering
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Supervised Learning, Data Preprocessing, Data-Driven Decision-Making, Statistical Modeling, Classification Algorithms, Plot (Graphics)
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: AI Orchestration, Testability, Jenkins, Integration Testing, Test Engineering, Azure DevOps, AI Enablement, Continuous Deployment
Advanced · Course · 1 - 4 Weeks

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

Pontificia Universidad Católica de Chile
Skills you'll gain: Model Evaluation, Predictive Analytics, Supervised Learning, Data Cleansing, Matplotlib, Regression Analysis, Unsupervised Learning, Data Analysis, Dimensionality Reduction, Statistical Machine Learning, Descriptive Analytics, Plot (Graphics), Exploratory Data Analysis, Data Science, Visualization (Computer Graphics), Pandas (Python Package), Data Visualization, Data-Driven Decision-Making, Time Series Analysis and Forecasting, Data Visualization Software
Credit offered
Mastertrack · 6 - 12 Months
Universidad de los Andes
Skills you'll gain: Social Network Analysis, Data Presentation, Systems Thinking, Reinforcement Learning, Unsupervised Learning, Risk Analysis, Computer Vision, Natural Language Processing, Predictive Modeling, Project Management Life Cycle, Marketing Analytics, Time Series Analysis and Forecasting, MLOps (Machine Learning Operations), Deep Learning, Logistic Regression, Professional Networking, Cash Flows, Descriptive Analytics, Transfer Learning, Simulations
Earn a degree
Degree · 1 - 4 Years