Advanced Analytics Skill

Overview

Master advanced analytics techniques including machine learning, predictive modeling, and big data processing for sophisticated data analysis.

Core Topics

Machine Learning Fundamentals

• Supervised vs unsupervised learning
• Classification algorithms (logistic regression, decision trees, random forest)
• Regression algorithms (linear, polynomial, ensemble methods)
• Clustering (K-means, hierarchical, DBSCAN)

Predictive Analytics

• Time series forecasting (ARIMA, exponential smoothing)
• Customer segmentation and RFM analysis
• Churn prediction models
• A/B testing and experimentation