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: Statistics, Regression Analysis, Probability, Statistical Hypothesis Testing, Probability Distribution, Statistical Analysis, Statistical Inference, Sampling (Statistics), Combinatorics
Intermediate · Course · 1 - 4 Weeks

Illinois Tech
Skills you'll gain: Statistical Analysis, Time Series Analysis and Forecasting, Data Analysis, Model Evaluation, Data Visualization, Exploratory Data Analysis, Statistical Programming, Statistical Machine Learning, Statistical Modeling, Data Cleansing, Analytics, Regression Analysis, R Programming, Statistical Software, Forecasting, Data Preprocessing, Bayesian Statistics, Supervised Learning, Statistical Inference, Machine Learning
Build toward a degree
Intermediate · Specialization · 3 - 6 Months

University of London
Skills you'll gain: Correlation Analysis, Predictive Modeling, Data Collection, Regression Analysis, Data Science, Applied Machine Learning, Forecasting, Data Analysis, Statistical Modeling, Time Series Analysis and Forecasting, Data-Driven Decision-Making, Exploratory Data Analysis, Feature Engineering, Model Evaluation
Beginner · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Network Analysis, R Programming, Statistical Analysis, Regression Analysis, Statistical Modeling, Bayesian Network, Statistical Hypothesis Testing, Statistical Programming, Data Analysis, R (Software), Probability, Probability Distribution, Applied Machine Learning, Probability & Statistics, Statistical Methods, Social Network Analysis, Applied Mathematics, Simulations, Data Science, Markov Model
Intermediate · Specialization · 3 - 6 Months

Johns Hopkins University
Skills you'll gain: Data Analysis, Applied Mathematics, Mathematical Modeling, Analytical Skills, Statistics, Systems Of Measurement, Correlation Analysis, Regression Analysis
Beginner · Course · 1 - 4 Weeks

Kennesaw State University
Skills you'll gain: Six Sigma Methodology, Lean Six Sigma, Statistical Hypothesis Testing, Statistical Analysis, Analysis, Statistical Inference, Process Analysis, Correlation Analysis, Data Analysis, Probability & Statistics, Risk Analysis, Regression Analysis, Sample Size Determination, Sampling (Statistics)
Mixed · Course · 1 - 3 Months

Arizona State University
Skills you'll gain: Regression Analysis, Experimentation, Statistical Methods, Statistical Analysis, Statistical Modeling, Research Design, Mathematical Modeling, Analysis, Model Evaluation
Intermediate · Course · 1 - 4 Weeks

Peking University
Skills you'll gain: Statistical Hypothesis Testing, SPSS (Software), Descriptive Statistics, Statistical Analysis, Statistical Methods, Data Analysis Software, Correlation Analysis, Regression Analysis, Probability & Statistics, Biostatistics
Mixed · Course · 1 - 3 Months

Microsoft
Skills you'll gain: Rmarkdown, Version Control, Web Scraping, Regression Analysis, Knitr, Exploratory Data Analysis, Statistical Analysis, Data Manipulation, Dimensionality Reduction, Ggplot2, Geospatial Information and Technology, Time Series Analysis and Forecasting, Plotly, Microsoft Azure, Data Cleansing, Data Visualization, Software Documentation, R Programming, Data Quality, Microsoft Copilot
Beginner · Professional Certificate · 3 - 6 Months

Skills you'll gain: Model Evaluation, Feature Engineering, Bioinformatics, Dimensionality Reduction, Predictive Modeling, Deep Learning, Artificial Neural Networks, Pandas (Python Package), Drug Development, Unsupervised Learning, Scikit Learn (Machine Learning Library), Data Manipulation, Molecular Biology, Regression Analysis, Machine Learning Algorithms, Machine Learning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Sampling (Statistics), Matplotlib, Data Analysis, Data Mining, Statistical Analysis, Statistical Hypothesis Testing, NumPy, Pandas (Python Package), Probability Distribution, Dimensionality Reduction, Model Evaluation, R Programming, Probability, Python Programming, Scikit Learn (Machine Learning Library), Data Preprocessing, Linear Algebra, Applied Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML)
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Scikit Learn (Machine Learning Library), Classification Algorithms, Applied Machine Learning, Machine Learning Algorithms, Supervised Learning, Random Forest Algorithm, Machine Learning, Unsupervised Learning, Data Analysis
Beginner · Guided Project · Less Than 2 Hours