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: Bayesian Statistics, Descriptive Statistics, Statistical Hypothesis Testing, Statistical Inference, Sampling (Statistics), Data Modeling, Statistics, Probability & Statistics, Statistical Analysis, Statistical Methods, Statistical Modeling, Marketing Analytics, Tableau Software, Data Analysis, Spreadsheet Software, Analytics, Time Series Analysis and Forecasting, Regression Analysis
Beginner · Course · 1 - 3 Months

Skills you'll gain: Model Deployment, Model Evaluation, Decision Tree Learning, MLOps (Machine Learning Operations), Data-Driven Decision-Making, Applied Machine Learning, Analytics, A/B Testing, Predictive Modeling, Machine Learning, Predictive Analytics, Statistical Hypothesis Testing, Statistical Methods, Scalability, Machine Learning Algorithms, Random Forest Algorithm, Performance Testing, Performance Analysis, Statistical Analysis, Classification Algorithms
Intermediate · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: Deep Learning, MLOps (Machine Learning Operations), Responsible AI, Model Evaluation, Data Ethics, Data Management, Project Management Life Cycle, Unsupervised Learning, Human Computer Interaction, User Experience Design, Classification And Regression Tree (CART), Data Quality, Model Deployment, Data Preprocessing, Human Centered Design, Machine Learning, Project Management, Product Management, Product Design, Data Science
Beginner · Specialization · 3 - 6 Months

Arizona State University
Skills you'll gain: Bayesian Statistics, Statistical Modeling, Bayesian Network, Statistical Methods, Statistical Analysis, Data Analysis, R Programming, Data-Driven Decision-Making, Statistical Inference, Markov Model, Simulations, Probability Distribution
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Matplotlib, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), NumPy, Pandas (Python Package), Model Evaluation, AI Workflows, Data Preprocessing, Deep Learning, Responsible AI, AWS SageMaker, Regression Analysis, Scikit Learn (Machine Learning Library), Machine Learning, Data Manipulation, Data Ethics, Applied Machine Learning, Data-Driven Decision-Making, Python Programming, AWS CloudFormation
Beginner · Specialization · 3 - 6 Months

ESSEC Business School
Skills you'll gain: Business Analytics, Forecasting, Statistical Methods, Data Presentation, Predictive Analytics, R Programming, Information Technology, Statistical Analysis, Communication, Business, Business Intelligence, Strategic Thinking, Data Analysis, Data Visualization, Regression Analysis
Mixed · Course · 1 - 3 Months

Skills you'll gain: Responsible AI, Anomaly Detection, Image Analysis, Unsupervised Learning, Computer Vision, Artificial Intelligence, Natural Language Processing, Microsoft Azure, Applied Machine Learning, AI Enablement, Data Ethics, Machine Learning, MLOps (Machine Learning Operations), Regression Analysis, No-Code Development, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, AI Workflows, Model Deployment, Classification Algorithms
Beginner · Specialization · 3 - 6 Months
University of Michigan
Skills you'll gain: Data Analysis, Analytical Skills, Experimentation, Critical Thinking, Research Design, Behavioral Economics, Decision Making, Regression Analysis, Statistical Inference, Probability, Correlation Analysis, Adaptability
Beginner · Course · 1 - 3 Months

Skills you'll gain: Verification And Validation, Software Quality Assurance, Software Quality (SQA/SQC), Debugging, Maintainability, Regression Testing, Quality Assurance, Data Quality, Issue Tracking, Root Cause Analysis, Business Intelligence, Jira (Software)
Beginner · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Biostatistics, Bioinformatics, Exploratory Data Analysis, Statistical Analysis, Statistical Methods, Statistical Hypothesis Testing, Statistics, R Programming, Probability & Statistics, Data Preprocessing, Data Analysis, Statistical Inference, Regression Analysis, Data Pipelines, Data Transformation, Logistic Regression
Mixed · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Model Evaluation, Predictive Modeling, Machine Learning Algorithms, Statistical Machine Learning, Feature Engineering, Supervised Learning, Predictive Analytics, Applied Machine Learning, Data Preprocessing, R Programming, Classification Algorithms, Machine Learning, Random Forest Algorithm, Regression Analysis, Exploratory Data Analysis, Data Wrangling
Mixed · Course · 1 - 4 Weeks

Logical Operations
Skills you'll gain: Object Oriented Programming (OOP), Object Oriented Design, Database Application, Python Programming, Unit Testing, Computer Programming, Restful API, Cross Platform Development, Package and Software Management, Scripting, Data Science, Program Development, Computer Programming Tools, Software Development, Data Processing, Debugging, Programming Principles, User Interface (UI) Design, Regression Analysis, Machine Learning
Intermediate · Specialization · 1 - 3 Months