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.

Skills you'll gain: Regression Analysis, Time Series Analysis and Forecasting, Forecasting, People Analytics, Trend Analysis, Microsoft Excel, Statistical Modeling, Correlation Analysis, Predictive Analytics, Statistical Analysis, Data Analysis Software, Analytical Skills, Probability & Statistics, Graphing, Climate Change Adaptation, Data Manipulation
Mixed · Course · 1 - 3 Months

Skills you'll gain: NumPy, Plot (Graphics), Pandas (Python Package), Scientific Visualization, Data Manipulation, Scatter Plots, Machine Learning, Data Science, Data Analysis Software, Histogram, Numerical Analysis, Linear Algebra, Probability Distribution, Classification Algorithms, Regression Analysis
Beginner · Course · 1 - 3 Months

University of Michigan
Skills you'll gain: Statistics, Data Analysis, Statistical Programming, Descriptive Statistics, Exploratory Data Analysis, Python Programming
Intermediate · Course · 1 - 4 Weeks

Fundação Instituto de Administração
Skills you'll gain: Sales Strategy, Sales, Customer Analysis, AI Personalization, Regression Analysis, Product Knowledge, Data Analysis, Predictive Analytics, Statistical Analysis, Business Metrics, Machine Learning Methods, Machine Learning, Classification Algorithms
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Release Management, Application Deployment, Test Planning, CI/CD, Software Quality Assurance, Performance Testing, Software Development Life Cycle, Software Testing, Maintainability, Risk Management, Test Driven Development (TDD), Data Validation, Behavior-Driven Development, Product Lifecycle Management, Systems Analysis, Systems Thinking, Business Process Automation, Data Modeling, Process Flow Diagrams, Digital Transformation
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: GitHub, Jenkins, Git (Version Control System), Version Control, Selenium (Software), CI/CD, Test Automation, JUnit, Test Data, Unit Testing, Test Case, Software Testing, Regression Testing, Debugging
Advanced · Course · 1 - 3 Months

Skills you'll gain: Model Deployment, Data Preprocessing, Model Evaluation
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Jupyter, Plot (Graphics), Model Evaluation, Microsoft Azure, Machine Learning Algorithms, Applied Machine Learning, Data Visualization, Regression Analysis
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Plot (Graphics), Data Visualization Software, R Programming, Scatter Plots, Regression Analysis, Statistical Modeling, Predictive Modeling, Artificial Neural Networks, Data Science, Deep Learning, Model Evaluation, Descriptive Statistics, Predictive Analytics, Statistical Methods, Data Manipulation, Data Preprocessing, Performance Testing
Mixed · Course · 1 - 4 Weeks

University of Maryland, College Park
Skills you'll gain: Sampling (Statistics), Data Analysis Software, Stata, Data Manipulation, Statistical Analysis, Statistical Software, Statistical Methods, Regression Analysis, Data Integrity, R (Software), R Programming, Statistical Modeling
Mixed · Course · 1 - 3 Months

Erasmus University Rotterdam
Skills you'll gain: Analysis, Data Analysis, Statistical Reporting, Analytical Skills, Exploratory Data Analysis, Quantitative Research, Statistical Analysis, Statistical Software, Small Data, R (Software), R Programming, Sampling (Statistics), Technical Communication, Research Methodologies, Scatter Plots, Statistical Hypothesis Testing, Data Collection
Beginner · Course · 1 - 3 Months

Pearson
Skills you'll gain: Deep Learning, Convolutional Neural Networks, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Keras (Neural Network Library), Artificial Neural Networks, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Transfer Learning, Tensorflow, Python Programming, Data Preprocessing, Network Architecture, Classification Algorithms, Model Evaluation, Regression Analysis
Intermediate · Course · 1 - 4 Weeks