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.

Johns Hopkins University
Skills you'll gain: Data Literacy, Data Analysis, Applied Mathematics, Mathematical Modeling, Data Modeling, Systems Of Measurement, Correlation Analysis, Regression Analysis, Trigonometry
Beginner · Course · 1 - 4 Weeks
Duke University
Skills you'll gain: Data Ethics, Exploratory Data Analysis, Data-Driven Decision-Making, Logistic Regression, Statistical Modeling, R (Software), Web Scraping, Ggplot2, Model Evaluation, Statistical Reporting, Data Visualization Software, Predictive Modeling, Tidyverse (R Package), Data Visualization, Responsible AI, Data Transformation, R Programming, Data Science, Data Wrangling, Version Control
Beginner · Specialization · 1 - 3 Months

Tecnológico de Monterrey
Skills you'll gain: Lean Six Sigma, Process Improvement and Optimization, Process Analysis, Six Sigma Methodology, Process Improvement, Lean Methodologies, Process Optimization, Lean Manufacturing, Statistical Analysis, Statistical Process Controls, Analysis, Regression Analysis, Continuous Improvement Process, Production Process, Statistical Methods, Statistical Hypothesis Testing, Statistical Inference
Intermediate · Course · 1 - 4 Weeks

National Taiwan University
Skills you'll gain: Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Theoretical Computer Science, Classification Algorithms, Machine Learning Methods, Artificial Neural Networks, Artificial Intelligence, Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Model Evaluation, Autoencoders, Convolutional Neural Networks, Supervised Learning, Statistical Machine Learning, Computer Science, Decision Tree Learning, Generative Adversarial Networks (GANs), Algorithms
Intermediate · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Sampling (Statistics), Statistical Methods, Statistical Software, Microsoft Excel, Excel Formulas, Probability & Statistics, Data Analysis, Regression Analysis, Statistical Inference, Probability Distribution, Data Analysis Software, Statistical Modeling, Analysis, Probability
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Supervised Learning, Model Evaluation, Classification Algorithms, Model Training, Machine Learning Methods, Applied Machine Learning, Matlab, Statistical Machine Learning, Regression Analysis, Model Optimization, Data Preprocessing, Predictive Modeling, Machine Learning, Feature Engineering, Data Validation
Beginner · Course · 1 - 4 Weeks

Illinois Tech
Skills you'll gain: Model Evaluation, Regression Analysis, Verification And Validation, Feature Engineering, Plot (Graphics), Statistical Methods, Statistical Modeling, Scatter Plots, Data Transformation, Correlation Analysis, Statistical Analysis, R Programming, Statistical Inference, Statistical Hypothesis Testing
Build toward a degree
Intermediate · Course · 1 - 4 Weeks

Edureka
Skills you'll gain: PySpark, Model Optimization, Model Training, Applied Machine Learning, Data Manipulation, Machine Learning, Data Preprocessing, Logistic Regression
Intermediate · Course · 1 - 4 Weeks

Microsoft
Skills you'll gain: Data Storytelling, Leaflet (Software), Rmarkdown, Version Control, Web Scraping, Regression Analysis, Data Visualization, Statistical Analysis, Data Manipulation, Geospatial Information and Technology, Time Series Analysis and Forecasting, Tidyverse (R Package), Statistical Software, Microsoft Azure, Logistic Regression, Data Cleansing, Data Wrangling, Software Documentation, R Programming, R (Software)
Beginner · Professional Certificate · 3 - 6 Months

Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Matplotlib, Feature Engineering, Time Series Analysis and Forecasting, Data Preprocessing, Jupyter, Image Analysis, Cloud Deployment, Scikit Learn (Machine Learning Library), Applied Machine Learning, Tensorflow, Amazon Web Services, Python Programming, Data Transformation, Logistic Regression, Machine Learning Methods, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML)
Beginner · Specialization · 1 - 3 Months
CertNexus
Skills you'll gain: Model Training, Jupyter, Unsupervised Learning, Model Evaluation, Classification Algorithms, Applied Machine Learning, Predictive Modeling, Machine Learning Methods, Regression Analysis, Machine Learning, Model Optimization, Statistical Modeling, Machine Learning Algorithms, Algorithms
Intermediate · Course · 1 - 3 Months

Coursera
Skills you'll gain: Model Evaluation, Supervised Learning, Unsupervised Learning, Data Preprocessing, Time Series Analysis and Forecasting, Applied Machine Learning, Model Training, Machine Learning Methods, Machine Learning Algorithms, Statistical Machine Learning, Feature Engineering, Machine Learning Software, Dimensionality Reduction, Machine Learning, Predictive Modeling, Data Wrangling, Predictive Analytics, Scikit Learn (Machine Learning Library), Classification Algorithms, Forecasting
Intermediate · Course · 1 - 4 Weeks