Predictive Analytics & Modeling
Step into the future of analytics with predictive modeling and machine learning. This comprehensive course teaches you how to build, validate, and deploy predictive models that forecast future trends, identify patterns, and drive strategic business decisions.
From linear regression to advanced ensemble methods, you'll master the complete spectrum of predictive analytics techniques. Work with real datasets to build classification, regression, and time series models that deliver actionable insights.
What You'll Learn
Foundations of Predictive Modeling
Understanding predictive analytics, model types, evaluation metrics, and the modeling lifecycle
Regression Techniques
Linear regression, logistic regression, polynomial regression, and regularization methods
Classification Algorithms
Decision trees, random forests, support vector machines, and neural networks for classification
Time Series Forecasting
ARIMA models, seasonal decomposition, exponential smoothing, and prophet for forecasting
Model Evaluation and Validation
Cross-validation, performance metrics, overfitting prevention, and model selection strategies
Feature Engineering and Selection
Creating predictive features, handling categorical variables, and selecting optimal feature sets
Your Instructor
Dr. Emily Watson
Data Science Lead & Machine Learning Expert
Dr. Watson is a renowned data scientist with a Ph.D. in Machine Learning and 14 years of experience building predictive models for industries ranging from finance to healthcare. She has led data science teams at major tech companies and published numerous papers on predictive analytics.
As an educator, Dr. Watson has trained thousands of analysts and data scientists, helping them transition into advanced predictive modeling roles.
Student Reviews
This is the most comprehensive predictive analytics course I've found. Dr. Watson's explanations are crystal clear, and the hands-on projects are incredibly valuable. I've already implemented several models at work!
Outstanding course! The perfect blend of theory and practice. The real-world case studies helped me understand how to apply these techniques to my own business problems.