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: Test Automation, Jenkins, Mobile Development, Test Execution Engine, Testability, Application Frameworks, Test Case, Regression Testing, Continuous Integration, Debugging, Scalability, CI/CD, Test Engineering, Maintainability, Automation, Continuous Deployment, Cross Platform Development, Containerization
Advanced · Course · 1 - 4 Weeks

Fractal Analytics
Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Data Preprocessing, Business Intelligence, Data Quality, Business Process Automation, Data Analysis, Business Ethics, Business Analytics, Emerging Technologies, Artificial Neural Networks, Machine Learning, Deep Learning, Data Science, Python Programming, Predictive Modeling, Unsupervised Learning
Beginner · Course · 1 - 3 Months
Coursera
Skills you'll gain: API Testing, Test Script Development, Scenario Testing, Software Testing, Integration Testing, Test Case, Test Automation, Test Tools, Regression Testing, Maintainability, User Interface (UI), Security Testing, Test Data, Scalability, Debugging, Authentications, Compliance Reporting, Performance Tuning, Automation
Intermediate · 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: 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

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

Skills you'll gain: Model Evaluation, Supervised Learning, Data Preprocessing, Data-Driven Decision-Making, Statistical Modeling, Classification Algorithms, Plot (Graphics)
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Autoencoders, Recurrent Neural Networks (RNNs), Classification Algorithms, Model Evaluation, Data Preprocessing
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: Dataflow, Data Pipelines, Debugging, Site Reliability Engineering, Data Integrity, CI/CD, Performance Tuning, Data Processing, Event Monitoring, Unit Testing, Metadata Management, Disaster Recovery, Integration Testing
Advanced · 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: Model Evaluation, Supervised Learning, Data Preprocessing, Random Forest Algorithm, Applied Machine Learning, Decision Tree Learning, Feature Engineering, Machine Learning Algorithms, Classification Algorithms, Predictive Modeling, Data Analysis, Python Programming
Mixed · Course · 1 - 4 Weeks