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 Pennsylvania
Skills you'll gain: R Programming, R (Software), Statistical Analysis, Statistical Methods, Statistical Software, Statistical Modeling, Statistical Inference, Quantitative Research, Correlation Analysis, Econometrics, Regression Analysis, Logistic Regression, Research Design, Graph Theory
Intermediate · Course · 1 - 3 Months

University of Amsterdam
Skills you'll gain: Statistical Hypothesis Testing, Probability & Statistics, Statistical Methods, Statistics, Statistical Analysis, Quantitative Research, Data Analysis Software
Beginner · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Risk Modeling, Operations Research, Regression Analysis, Excel Formulas, Microsoft Excel, Business Analytics, Risk Analysis, Business Risk Management, Business Modeling, Financial Modeling, Resource Allocation, Statistical Analysis, Decision Intelligence, Mathematical Modeling, Process Optimization, Financial Analysis, Statistical Methods, Spreadsheet Software, Predictive Analytics, Transportation Operations
Intermediate · Course · 1 - 3 Months

Imperial College London
Skills you'll gain: Regression Analysis, Calculus, Model Optimization, Mathematical Software, Machine Learning Methods, Numerical Analysis, Applied Mathematics, Applied Machine Learning, Linear Algebra, Artificial Neural Networks, Deep Learning, Mathematical Theory & Analysis, Derivatives
Beginner · Course · 1 - 3 Months

University of Pittsburgh
Skills you'll gain: Bayesian Statistics, Statistical Modeling, Predictive Analytics, Statistics, Regression Analysis, Predictive Modeling, Statistical Inference, Probability & Statistics, Mathematical Modeling, Model Evaluation, Data Analysis, Data Science, Statistical Machine Learning, Statistical Analysis, Statistical Programming, Markov Model, Probability Distribution, Sampling (Statistics), Machine Learning, Python Programming
Intermediate · Specialization · 3 - 6 Months

Duke University
Skills you'll gain: Bayesian Statistics, Statistical Hypothesis Testing, Statistical Modeling, Statistical Methods, Statistical Inference, Statistical Programming, Statistics, Statistical Analysis, Probability & Statistics, Regression Analysis, Data Analysis, R Programming, R (Software), Probability, Analysis, Data-Driven Decision-Making, Predictive Modeling, Model Evaluation, Probability Distribution
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Keras (Neural Network Library), Deep Learning, Transfer Learning, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Model Optimization, Machine Learning Methods, Image Analysis, Applied Machine Learning, Autoencoders, Model Training, Regression Analysis, Network Architecture, Natural Language Processing, Machine Learning
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Unsupervised Learning, Exploratory Data Analysis, Autoencoders, Feature Engineering, Dimensionality Reduction, Supervised Learning, Generative AI, Classification Algorithms, Regression Analysis, Time Series Analysis and Forecasting, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Generative Model Architectures, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Data Science, Machine Learning, Python Programming
Build toward a degree
Intermediate · Professional Certificate · 3 - 6 Months

Duke University
Skills you'll gain: Deep Learning, Model Evaluation, Unsupervised Learning, Machine Learning Methods, Classification And Regression Tree (CART), Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Artificial Neural Networks, Decision Tree Learning, Model Training, Computer Vision, Logistic Regression, Supervised Learning, Machine Learning Algorithms, Natural Language Processing, Predictive Modeling, Data Science, Predictive Analytics
Intermediate · Course · 1 - 3 Months
Duke University
Skills you'll gain: Predictive Modeling, Predictive Analytics, Microsoft Excel, Excel Formulas, Classification Algorithms, Data-Driven Decision-Making, Business Analytics, Financial Forecasting, Data Analysis, Model Evaluation, Business Risk Management, Data Literacy
Beginner · Course · 1 - 3 Months

New York University
Skills you'll gain: Supervised Learning, Machine Learning Methods, Model Evaluation, Applied Machine Learning, Statistical Machine Learning, Machine Learning, Statistical Methods, Artificial Neural Networks, Statistical Modeling, Predictive Modeling, Model Training, Scikit Learn (Machine Learning Library), Regression Analysis, Deep Learning, Tensorflow, Logistic Regression, Jupyter, Reinforcement Learning
Intermediate · Course · 1 - 4 Weeks

University of Pittsburgh
Skills you'll gain: Bayesian Statistics, Data-Driven Decision-Making, Statistical Modeling, Predictive Analytics, Predictive Modeling, Applied Machine Learning, Markov Model, Statistical Methods, Data Science, Health Informatics, Statistical Inference, Statistical Machine Learning, Statistical Programming, Regression Analysis, Statistical Analysis, Machine Learning, Machine Learning Algorithms, Python Programming, Probability Distribution, Computational Thinking
Intermediate · Course · 1 - 3 Months