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.

Arizona State University
Skills you'll gain: Data Storage Technologies, Probability & Statistics, Statistics, Data Store, Mathematical Software, Data Storage, Data Access, Database Software, Data Manipulation, Data Transformation, Model Evaluation
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Predictive Analytics, Predictive Modeling, Feature Engineering, Regression Analysis, Analytics, Data Analysis, Data Preprocessing, Data Quality, Data Cleansing, Data Integrity, Data Wrangling, Model Training, Data Validation, Data Transformation
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Cleansing, PySpark, Data Manipulation, Data Preprocessing, Apache Spark, Data Analysis, Applied Machine Learning, Predictive Modeling, Predictive Analytics, Big Data, Machine Learning, Regression Analysis, Model Training
★ 4.7 (34) · Intermediate · Guided Project · Less Than 2 Hours
Skills you'll gain: Model Evaluation, Applied Machine Learning, Model Training, Unsupervised Learning, Regression Analysis, Classification Algorithms, Machine Learning Algorithms, Model Optimization, Machine Learning Methods, Linear Algebra, Machine Learning, Predictive Modeling, Statistical Modeling, Supervised Learning, Performance Tuning
★ 4.5 (21) · Intermediate · Course · 1 - 3 Months

EDUCBA
Skills you'll gain: Operational Risk, Model Evaluation, Credit Risk, Exploratory Data Analysis, Lending and Underwriting, Data Preprocessing, Commercial Lending, Risk Control, Risk Management, Risk Modeling, Banking, Analysis, Financial Statements, Financial Controls, Financial Market, Logistic Regression, Analytics, Cash Flows, Working Capital, Research
★ 5 (43) · Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Classification Algorithms, Supervised Learning, Model Evaluation, Data Preprocessing, Logistic Regression, Machine Learning Algorithms, Decision Tree Learning, Model Training, Applied Machine Learning, Statistical Machine Learning, Predictive Modeling, Business Logic, Machine Learning Methods, Scikit Learn (Machine Learning Library), Data Cleansing, Machine Learning, Regression Analysis, Random Forest Algorithm, Model Optimization, Sampling (Statistics)
★ 4.8 (468) · Intermediate · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Unsupervised Learning, Applied Machine Learning, Responsible AI, Data Ethics, Machine Learning, Supervised Learning, Artificial Intelligence, Reinforcement Learning, Artificial Neural Networks, Deep Learning, Anomaly Detection, Dimensionality Reduction
★ 4.9 (5.7K) · Beginner · Course · 1 - 4 Weeks

Imperial College London
Skills you'll gain: Biostatistics, Statistical Analysis, R (Software), R Programming, Statistical Methods, Data Wrangling, Regression Analysis, Exploratory Data Analysis, Statistical Software, Data Analysis, Logistic Regression, Probability & Statistics, Statistical Modeling, Descriptive Statistics, Model Evaluation, Public Health
★ 4.5 (331) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: PyTorch (Machine Learning Library), Applied Machine Learning, Regression Analysis, Tensorflow, Supervised Learning, Deep Learning, Predictive Modeling, Machine Learning, Statistical Methods, Data Processing, Probability & Statistics
★ 4.4 (1.9K) · Intermediate · Course · 1 - 3 Months

Duke University
Skills you'll gain: PyTorch (Machine Learning Library), Logistic Regression, Machine Learning Methods, Transfer Learning, Reinforcement Learning, Convolutional Neural Networks, Deep Learning, Image Analysis, Applied Machine Learning, Model Training, Natural Language Processing, Machine Learning, Model Optimization, Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging
★ 4.7 (3.8K) · Intermediate · Course · 1 - 3 Months

Skills you'll gain: PyTorch (Machine Learning Library), Model Optimization, Transfer Learning, Convolutional Neural Networks, Artificial Neural Networks, Deep Learning, Model Training, Logistic Regression, Image Analysis, Applied Machine Learning, Model Evaluation, Computer Vision, Classification Algorithms, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Statistical Methods
★ 4.5 (106) · Intermediate · Course · 1 - 3 Months

University of Michigan
Skills you'll gain: Statistical Modeling, Statistical Methods, Bayesian Statistics, Statistical Inference, Statistical Software, Model Evaluation, Statistical Analysis, Statistical Programming, Regression Analysis, Predictive Modeling, Advanced Analytics, Data Analysis, Logistic Regression, Exploratory Data Analysis, Dependency Analysis, Python Programming, Data Visualization Software
★ 4.4 (718) · Intermediate · Course · 1 - 4 Weeks