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: Model Evaluation, Predictive Modeling, Machine Learning Algorithms, Statistical Machine Learning, Feature Engineering, Supervised Learning, Predictive Analytics, Applied Machine Learning, Data Preprocessing, R Programming, Classification Algorithms, Machine Learning, Random Forest Algorithm, Regression Analysis, Exploratory Data Analysis, Data Wrangling
Mixed · Course · 1 - 4 Weeks

Columbia University
Skills you'll gain: Portfolio Management, Derivatives, Financial Market, Securities (Finance), Investment Management, Portfolio Risk, Asset Management, Credit Risk, Mortgage Loans, Mathematical Modeling, Applied Mathematics, Capital Markets, Financial Modeling, Risk Modeling, Regression Analysis, Market Liquidity, Futures Exchange, Risk Management, Equities, Actuarial Science
Intermediate · Specialization · 3 - 6 Months

ESSEC Business School
Skills you'll gain: Business Analytics, Forecasting, Statistical Methods, Data Presentation, Predictive Analytics, R Programming, Information Technology, Statistical Analysis, Communication, Business, Business Intelligence, Strategic Thinking, Data Analysis, Data Visualization, Regression Analysis
Mixed · Course · 1 - 3 Months

UNSW Sydney (The University of New South Wales)
Skills you'll gain: Systems Engineering, Conceptual Design, Systems Design, Requirements Analysis, Systems Development Life Cycle, Requirements Elicitation, Systems Architecture, Systems Integration, Engineering Design Process, System Design and Implementation, Concept Of Operations, Configuration Management, Prototyping, System Requirements, Design Reviews, Verification And Validation
Mixed · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Data Preprocessing, Model Deployment, MLOps (Machine Learning Operations), JUnit, Decision Tree Learning, Build Tools, Performance Tuning, Classification And Regression Tree (CART), Java, Apache Maven, Data Structures, Random Forest Algorithm, Gradle, Data Pipelines, Software Architecture, Software Design, Object Oriented Programming (OOP), Machine Learning, Apache
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Model Deployment, Model Evaluation, Decision Tree Learning, MLOps (Machine Learning Operations), Data-Driven Decision-Making, Applied Machine Learning, Analytics, A/B Testing, Predictive Modeling, Machine Learning, Predictive Analytics, Statistical Hypothesis Testing, Statistical Methods, Scalability, Machine Learning Algorithms, Random Forest Algorithm, Performance Testing, Performance Analysis, Statistical Analysis, Classification Algorithms
Intermediate · Course · 1 - 4 Weeks

Arizona State University
Skills you'll gain: Bayesian Statistics, Statistical Modeling, Bayesian Network, Statistical Methods, Statistical Analysis, Data Analysis, R Programming, Data-Driven Decision-Making, Statistical Inference, Markov Model, Simulations, Probability Distribution
Intermediate · Course · 1 - 4 Weeks
Skills you'll gain: Model Evaluation, Model Deployment, Decision Tree Learning, Data Preprocessing, Classification Algorithms, Predictive Modeling, Random Forest Algorithm, Applied Machine Learning, Java, Program Evaluation, Machine Learning, Feature Engineering, Algorithms, Program Implementation, Business Development
Advanced · Course · 1 - 4 Weeks
Skills you'll gain: Random Forest Algorithm, Decision Tree Learning, Data Preprocessing, Applied Machine Learning, Jupyter, Classification Algorithms, Java, Sampling (Statistics), Feature Engineering, Model Evaluation, Supervised Learning, Predictive Modeling, Machine Learning, Learning Styles, Program Evaluation, Program Implementation
Intermediate · Course · 1 - 4 Weeks

University of Illinois Urbana-Champaign
Skills you'll gain: Text Mining, Data Mining, Unstructured Data, Statistical Analysis, Natural Language Processing, Predictive Analytics, Analytics, Data Analysis, Statistical Methods, Unsupervised Learning, Probability & Statistics, Logistic Regression, Classification Algorithms
Mixed · Course · 1 - 3 Months

Skills you'll gain: Data Visualization, Regression Analysis, Advanced Analytics, Statistical Analysis, Data Analysis, Statistical Methods, Data Science, Machine Learning Methods, Artificial Intelligence, Python Programming, Machine Learning, Project Documentation, Portfolio Management
Advanced · Course · 1 - 4 Weeks

Multiple educators
Skills you'll gain: Tensorflow, Keras (Neural Network Library), Machine Learning Methods, Model Evaluation, Machine Learning, Google Cloud Platform, Machine Learning Algorithms, Applied Machine Learning, Financial Trading, Reinforcement Learning, Recurrent Neural Networks (RNNs), Supervised Learning, Data Pipelines, Time Series Analysis and Forecasting, Statistical Machine Learning, Technical Analysis, Deep Learning, Securities Trading, Portfolio Management, Artificial Intelligence and Machine Learning (AI/ML)
Intermediate · Specialization · 1 - 3 Months