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: Selenium (Software), Test Automation, Behavior-Driven Development, Gherkin (Scripting Language), Software Testing, Unit Testing, Test Script Development, Regression Testing, Test Case, Continuous Integration, Automation, Software Design Patterns, Web Development Tools, Maintainability, Python Programming, UI Components
Beginner · 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

Skills you'll gain: Business Analytics, Data-Driven Decision-Making
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Supervised Learning, Model Evaluation, Classification Algorithms, Applied Machine Learning, Matlab, Regression Analysis, Data Preprocessing, Predictive Modeling, Machine Learning, Feature Engineering, Decision Tree Learning, Logistic Regression, Data Cleansing
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
University of Michigan
Skills you'll gain: Logistic Regression, Forecasting, Statistical Methods, Regression Analysis, Plot (Graphics), Data Cleansing, Scikit Learn (Machine Learning Library), Supervised Learning, Data Processing, Statistical Hypothesis Testing, Sports Medicine, Correlation Analysis, Data Preprocessing, Applied Machine Learning, Injury Prevention, Athletic Training, Analytics, Data Analysis, Statistical Analysis, Python Programming
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: NumPy, Matplotlib, Statistical Methods, Data Visualization, Python Programming, Pandas (Python Package), Seaborn, Machine Learning, Applied Mathematics, Statistical Analysis, Exploratory Data Analysis, Data Science, Probability, Regression Analysis, Linear Algebra, Data Manipulation, Calculus
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Brand Awareness, Pivot Tables And Charts, Brand Management, Market Intelligence, Surveys, Marketing Analytics, Branding, Google Analytics, Dashboard, Looker (Software), Business Intelligence, Market Research, Key Performance Indicators (KPIs), Financial Forecasting, Data Storytelling, Tableau Software, Power BI, Forecasting, Regression Analysis, SQL
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Selenium (Software), Test Automation, Behavior-Driven Development, Gherkin (Scripting Language), Test Script Development, Unit Testing, Software Testing, Jenkins, CI/CD, Continuous Integration, Test Tools, Apache Maven, Automation, Regression Testing, Test Case, DevOps, Java, C# (Programming Language), Java Programming, Python Programming
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Minitab, Process Capability, Statistical Process Controls, Statistical Hypothesis Testing, Descriptive Statistics, Statistical Analysis, Business Analytics, Sampling (Statistics), Probability & Statistics, Probability Distribution, Data-Driven Decision-Making, Statistical Methods, Data Analysis, Performance Analysis, Predictive Analytics, Statistical Inference, Case Studies, Statistical Visualization, Quality Control, Statistical Modeling
Beginner · Specialization · 1 - 3 Months

Coursera
Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Business Metrics, Feature Engineering, Predictive Modeling, Random Forest Algorithm, Supervised Learning, Scikit Learn (Machine Learning Library), Data Preprocessing, Applied Machine Learning, Performance Metric, Regression Analysis, Continuous Monitoring, Statistical Methods, Algorithms
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Supervised Learning, Feature Engineering, Applied Machine Learning, Object Oriented Programming (OOP), Unsupervised Learning, Model Evaluation, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Transfer Learning, Machine Learning Algorithms, Data Visualization, Natural Language Processing, Seaborn, Predictive Modeling, Flask (Web Framework), Python Programming, Deep Learning, PyTorch (Machine Learning Library), Programming Principles, Web Applications
Beginner · Specialization · 3 - 6 Months