Regression courses can help you learn statistical modeling, data analysis techniques, and how to interpret relationships between variables. You can build skills in linear regression, logistic regression, and understanding residuals, along with evaluating model performance. Many courses introduce tools like R, Python, and Excel, that support conducting analyses and visualizing data, allowing you to apply these skills in practical work such as predicting outcomes and making informed decisions based on data.

Skills you'll gain: Test Automation, Test Script Development, Test Execution Engine, Continuous Integration, Software Testing, Regression Testing, Code Reusability, Data Governance, CI/CD, Maintainability, Test Data, Scalability, SAP Applications
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Test Tools, Test Case, Test Automation, Regression Testing, CI/CD, Continuous Integration, Continuous Deployment, No-Code Development, Test Planning, Test Data, Code Reusability, Maintainability, Development Environment, Debugging, Scalability
Advanced · Course · 1 - 4 Weeks
Coursera
Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Classification Algorithms, Java, Java Programming, Machine Learning Algorithms, Machine Learning Methods, Algorithms, Machine Learning, Data Structures, Analysis, Software Engineering
Advanced · Course · 1 - 4 Weeks
Chris Croft Training
Skills you'll gain: Problem Solving, Critical Thinking and Problem Solving, Complex Problem Solving, Decision Making, Creative Problem-Solving, Root Cause Analysis, Cognitive flexibility, Brainstorming, Ideation, Strategic Decision-Making, Creative Thinking, Decisiveness, Risk Management, Decision Intelligence, Creativity, Data-Driven Decision-Making, Risk Analysis, Innovation, Decision Tree Learning, Tree Maps
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Large Language Modeling, Retrieval-Augmented Generation, LLM Application, Data Analysis, Applied Machine Learning, Keras (Neural Network Library), Machine Learning Methods, Model Evaluation, Model Training, Fine-tuning, Model Deployment, Generative AI, Text Mining, Prompt Engineering, Deep Learning, Random Forest Algorithm, Machine Learning, MLOps (Machine Learning Operations)
Intermediate · Course · 3 - 6 Months
Skills you'll gain: Model Evaluation, Decision Tree Learning, Classification Algorithms, Model Training, Applied Machine Learning, Java, Java Programming, Model Optimization, Predictive Modeling, Machine Learning Software, Supervised Learning, Technical Communication, Fine-tuning, Tree Maps, MLOps (Machine Learning Operations), Machine Learning Algorithms, Algorithms
Advanced · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Decision Making, Strategic Decision-Making, Solution Selling, Decision Intelligence, Sales, Data-Driven Decision-Making, Decision Support Systems, Complex Problem Solving, Cost Benefit Analysis, Decision Tree Learning, Negotiation, Prioritization, Return On Investment
Intermediate · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: Depreciation, Risk Analysis, Risk Modeling, Engineering Management, Cost Benefit Analysis, Strategic Decision-Making, Decision Tree Learning, Financial Analysis, Capital Budgeting, Tax Management, Decision Making, Tax Planning, Income Tax, Economics, Simulation and Simulation Software, Probability Distribution, Cash Flows
Mixed · Course · 1 - 3 Months

Skills you'll gain: Data-Driven Marketing, Resource Allocation, Customer Insights, Target Market, Customer Relationship Management, Customer Engagement, Analytical Skills, Target Audience, Statistical Modeling, Analysis, Estimation
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Predictive Modeling, Model Optimization, Data Preprocessing, Model Training, Model Deployment, Forecasting, Statistical Analysis, Performance Metric, Machine Learning, Deposit Accounts
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Business Metrics, Model Training, Feature Engineering, Predictive Modeling, Random Forest Algorithm, Supervised Learning, Scikit Learn (Machine Learning Library), Data Preprocessing, Applied Machine Learning, Performance Metric, Machine Learning Algorithms, Regression Analysis, Continuous Monitoring, Statistical Methods
Intermediate · Course · 1 - 4 Weeks
Skills you'll gain: Random Forest Algorithm, Decision Tree Learning, Applied Machine Learning, Jupyter, Classification Algorithms, Java, Java Programming, Sampling (Statistics), Statistical Machine Learning, Model Evaluation, Supervised Learning, Machine Learning Methods, Model Training, Predictive Modeling, Machine Learning, Learning Styles, Program Evaluation, Program Implementation
Intermediate · Course · 1 - 4 Weeks