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 Michigan
Skills you'll gain: Feature Engineering, Model Evaluation, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Decision Tree Learning, Unsupervised Learning, Python Programming, Random Forest Algorithm, Regression Analysis, Classification Algorithms, Artificial Neural Networks
Intermediate · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: Deep Learning, Model Evaluation, Unsupervised Learning, Classification And Regression Tree (CART), Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Convolutional Neural Networks, Decision Tree Learning, Computer Vision, Logistic Regression, Supervised Learning, Natural Language Processing, Random Forest Algorithm, Data Science, Predictive Analytics, Algorithms
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Data-Driven Decision-Making, Regression Analysis, Descriptive Statistics, Statistical Hypothesis Testing, Case Studies, Business Analytics, Minitab, Data Analysis, Statistical Analysis, Probability & Statistics, Microsoft Excel, Correlation Analysis, Quantitative Research, Exploratory Data Analysis
Beginner · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Microsoft Excel, Excel Formulas, Regression Analysis, Data Validation, Pivot Tables And Charts, Spreadsheet Software, Data Management, Data Visualization Software, Data Entry, Statistical Modeling, Data Cleansing, Financial Analysis, Predictive Modeling, Financial Modeling, Data Analysis Expressions (DAX), Data Import/Export, Analysis, Mathematical Modeling, Complex Problem Solving, Problem Solving
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), AI Orchestration, Dependency Analysis, Application Deployment, Continuous Deployment, Generative AI, Release Management, Regression Testing, Cloud Deployment, Verification And Validation, Site Reliability Engineering, CI/CD, Model Evaluation, Continuous Delivery, Data-Driven Decision-Making, Application Performance Management, Software Technical Review, Kubernetes, System Requirements
Intermediate · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Linear Algebra, Statistical Inference, A/B Testing, Statistical Analysis, Applied Mathematics, NumPy, Probability, Calculus, Dimensionality Reduction, Numerical Analysis, Machine Learning Algorithms, Data Preprocessing, Machine Learning, Machine Learning Methods
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Classification And Regression Tree (CART), Data-Driven Decision-Making, Minitab, Regression Analysis, Descriptive Statistics, Statistical Hypothesis Testing, Case Studies, Business Analytics, Decision Tree Learning, Predictive Analytics, Estimation, Statistical Visualization, Probability & Statistics, Microsoft Excel, Statistical Analysis, Data Visualization Software, Predictive Modeling, Data Analysis, Statistics, Analytical Skills
Beginner · Specialization · 1 - 3 Months

University of California San Diego
Skills you'll gain: Apache Spark, Model Evaluation, Apache Hadoop, Data Integration, Exploratory Data Analysis, Big Data, Classification Algorithms, Graph Theory, Data Pipelines, Database Design, Data Modeling, Regression Analysis, Data Mining, Data Management, Applied Machine Learning, Data Preprocessing, Data Infrastructure, Data Presentation, Data Processing, MongoDB
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Supervised Learning, Financial Forecasting, Forecasting, Applied Machine Learning, Predictive Modeling, Predictive Analytics, Model Evaluation, Business Analytics, Data Storytelling, Data-Driven Decision-Making, Business Metrics, Scikit Learn (Machine Learning Library), Performance Analysis, Regression Analysis, Feature Engineering, Data Science, Stakeholder Communications, Key Performance Indicators (KPIs), Exploratory Data Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Sampling (Statistics), Logistic Regression, SAS (Software), Predictive Analytics, Automation, Data Integration, Advanced Analytics, Debugging, Statistical Programming, SQL, Statistical Methods, Report Writing, Data Manipulation, Model Evaluation, Data Analysis, Statistical Reporting, Data Access, Microsoft Excel, Analysis, Finance
Beginner · Specialization · 3 - 6 Months

Kennesaw State University
Skills you'll gain: Six Sigma Methodology, Lean Six Sigma, Root Cause Analysis, Lean Methodologies, Process Improvement, Data Collection, Quality Improvement, Process Optimization, Correlation Analysis, Statistical Hypothesis Testing, Kaizen Methodology, Process Analysis, Probability Distribution, Regression Analysis, Business Process, Statistical Process Controls, Quality Management, Team Management, Continuous Improvement Process, Project Management
Beginner · Specialization · 3 - 6 Months

Coursera
Skills you'll gain: Software Quality Assurance, Quality Assurance, Software Testing, Jira (Software), Regression Testing, Functional Testing, Test Planning, Test Case, Usability Testing, Technical Communication, Issue Tracking, Agile Methodology, Software Documentation, Software Development, Agile Project Management, Risk Management, User Interface and User Experience (UI/UX) Design, Data Analysis, Problem Solving
Beginner · Course · 1 - 4 Weeks