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: Matplotlib, Statistical Modeling, Descriptive Statistics
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Feature Engineering, Time Series Analysis and Forecasting, Applied Machine Learning, Predictive Modeling, Credit Risk, Supervised Learning, Statistical Modeling, Unsupervised Learning, Machine Learning, Python Programming, Data Visualization, Data Preprocessing
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: 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 Transformation, Data Manipulation, Model Evaluation, Exploratory Data Analysis, Classification Algorithms, Regression Analysis
Beginner · Course · 1 - 4 Weeks

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, Model Deployment, Data Preprocessing, Performance Tuning
Intermediate · Course · 1 - 4 Weeks

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: Verification And Validation, Software Quality Assurance, Software Quality (SQA/SQC), Debugging, Maintainability, Regression Testing, Quality Assurance, Data Quality, Issue Tracking, Root Cause Analysis, Business Intelligence, Jira (Software)
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Lean Six Sigma, Organizational Change, Lean Methodologies, Six Sigma Methodology, Organizational Leadership, Project Scoping, Root Cause Analysis, Statistical Analysis, Statistical Methods, Process Improvement, Process Analysis, Quality Improvement, Continuous Quality Improvement (CQI), Process Capability, Statistical Hypothesis Testing, Data Analysis, Kanban Principles, Waste Minimization
Mixed · 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

Skills you'll gain: Classification And Regression Tree (CART), Model Evaluation, Predictive Analytics, Predictive Modeling, Decision Tree Learning, Data Preprocessing, Data-Driven Decision-Making, Marketing Analytics, Feature Engineering, Classification Algorithms, Financial Forecasting, Performance Tuning
Mixed · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: Classification Algorithms, Exploratory Data Analysis, Data Mining, Model Evaluation, Dimensionality Reduction, Regression Analysis, Machine Learning Algorithms, Data Analysis, Big Data, Feature Engineering, Predictive Modeling, Statistical Analysis, Data Preprocessing, Case Studies, Supervised Learning, Project Implementation
Intermediate · Course · 1 - 3 Months