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: SAS (Software), Statistical Modeling, Statistical Programming, Regression Analysis, Statistical Analysis, Model Evaluation, Statistical Methods, Probability Distribution, Data Manipulation
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Test Tools, Browser Compatibility, Software Testing, Test Automation, Continuous Integration, Cloud Applications, CI/CD, Regression Testing, Mobile Development Tools, Cloud Platforms, Verification And Validation, Quality Assurance, UI Components, User Interface (UI), Automation, Scalability
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Preprocessing, Tensorflow, Scikit Learn (Machine Learning Library), Machine Learning, Feature Engineering, Deep Learning, Convolutional Neural Networks, Matplotlib, Jupyter, Python Programming, NumPy, Data Manipulation, Artificial Neural Networks, Seaborn, Development Environment, Pandas (Python Package), Regression Analysis
Mixed · Course · 1 - 3 Months
Coursera
Skills you'll gain: API Testing, Test Script Development, Scenario Testing, Software Testing, Integration Testing, Test Case, Test Automation, Acceptance Testing, Test Tools, Regression Testing, Test Execution Engine, Maintainability, User Interface (UI), Security Testing, Test Data, Scalability, Debugging, Authentications, Compliance Reporting, Automation
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Text Mining, Natural Language Processing, Cloud API, Google Cloud Platform, Unstructured Data, Classification And Regression Tree (CART), Application Programming Interface (API), Data Analysis
Intermediate · Project · Less Than 2 Hours

Skills you'll gain: Time Series Analysis and Forecasting, Statistical Modeling, Forecasting, Predictive Modeling, Regression Analysis, Exploratory Data Analysis, Predictive Analytics, Correlation Analysis, Statistical Software, Statistical Analysis, Model Evaluation, Plot (Graphics)
Mixed · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: Text Mining, Data Mining, Time Series Analysis and Forecasting, Classification Algorithms, Big Data, Artificial Neural Networks, Regression Analysis, Data Science, Machine Learning Algorithms, Supervised Learning, Feature Engineering, Unsupervised Learning, Analytics, Predictive Modeling, Forecasting, Advanced Analytics, Deep Learning, Data Preprocessing
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Model Deployment, Data Preprocessing, Performance Tuning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Dataflow, Data Pipelines, Performance Tuning, Data Integrity, Maintainability, Debugging, System Monitoring, Data Processing, CI/CD, Unit Testing, Disaster Recovery
Advanced · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, Deep Learning, Supervised Learning, Artificial Neural Networks, Model Evaluation, Decision Tree Learning, Network Planning And Design, Machine Learning, Computer Vision
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Exploratory Data Analysis, Predictive Modeling, Model Evaluation, Matplotlib, A/B Testing, Box Plots, Sampling (Statistics), Data Analysis, Regression Analysis, Statistical Inference, Data Visualization, Descriptive Statistics, Scikit Learn (Machine Learning Library), Data Science, Probability & Statistics, Estimation, Statistical Analysis, NumPy, Machine Learning, Python Programming
Beginner · Specialization · 1 - 4 Weeks

Skills you'll gain: Supervised Learning, Data Preprocessing, Machine Learning, Machine Learning Algorithms, Time Series Analysis and Forecasting, Data Quality, Unsupervised Learning, Data Cleansing, Data Analysis, Feature Engineering, Data Manipulation, Data Transformation, Model Evaluation, Exploratory Data Analysis, Classification Algorithms, Regression Analysis
Beginner · Course · 1 - 4 Weeks