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.

Pontificia Universidad CatĂłlica de Chile
Skills you'll gain: Descriptive Analytics, Business Analytics, Model Evaluation, Logistic Regression, Data Mining, Dimensionality Reduction, Plot (Graphics), Data Analysis, R Programming, Statistical Modeling, Big Data, Visualization (Computer Graphics), Data-Driven Decision-Making, Predictive Modeling, Predictive Analytics, Data Modeling, Analytics, Advanced Analytics, Data Visualization Software, Statistical Visualization
Credit offered
Mastertrack · 6 - 12 Months

University of Leeds
Skills you'll gain: Data Ethics, Data Presentation, Statistical Machine Learning, Regression Analysis, Data Storytelling, Social Network Analysis, Statistical Hypothesis Testing, Matplotlib, Exploratory Data Analysis, Bayesian Statistics, Data Analysis, Model Evaluation, Statistical Visualization, Classification And Regression Tree (CART), Supervised Learning, Network Analysis, Statistical Modeling, Linear Algebra, File I/O, Data Preprocessing
Earn a degree
Degree · 1 - 4 Years

Pontificia Universidad CatĂłlica de Chile
Skills you'll gain: Model Evaluation, Predictive Analytics, Data Cleansing, Unsupervised Learning, Matplotlib, Exploratory Data Analysis, Supervised Learning, Dimensionality Reduction, Data Science, Descriptive Analytics, Plot (Graphics), Regression Analysis, Data Visualization, Data Analysis, Machine Learning Algorithms, Visualization (Computer Graphics), Pandas (Python Package), Data-Driven Decision-Making, Applied Machine Learning, Data Visualization Software
Credit offered
Mastertrack · 6 - 12 Months
Stanford University
Skills you'll gain: Bayesian Network, Machine Learning Methods, Statistical Inference, Markov Model, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Probability Distribution, Machine Learning Algorithms, Computational Thinking
Advanced · Course · 1 - 3 Months

Skills you'll gain: R Programming, Predictive Analytics, Applied Machine Learning, Data-Driven Decision-Making, Analytics, Data Science, Feature Engineering, Data Preprocessing, Machine Learning, Telemarketing, Model Deployment
Intermediate · Guided Project · Less Than 2 Hours

University of Minnesota
Skills you'll gain: Operations Research, Mathematical Modeling, Business Modeling, Business Analytics, Analytics, Data Modeling, Business Mathematics, Process Optimization, Data-Driven Decision-Making, Microsoft Excel, Decision Making, Linear Algebra, Spreadsheet Software, Graphing
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Dimensionality Reduction, R Programming, Time Series Analysis and Forecasting, Applied Machine Learning, Unsupervised Learning, Predictive Modeling, Machine Learning, Text Mining, Classification Algorithms, Artificial Neural Networks, Data Mining, Feature Engineering, Data Preprocessing, Model Evaluation, Exploratory Data Analysis
Mixed · Course · 1 - 4 Weeks