PySpark: Apply & Analyze Advanced Data Processing

This course equips learners with the skills to apply and analyze advanced data processing techniques using PySpark, the Python API for Apache Spark. Designed for data professionals with foundational Python and PySpark knowledge, the course explores real-world use cases including customer segmentation, text mining, and stochastic modeling. Learners will begin by applying RFM (Recency, Frequency, Monetary) analysis and K-Means clustering to segment customers based on behavioral patterns. The cour

• Apply RFM analysis and K-Means clustering for customer segmentation
• Extract and analyze textual data using OCR with PySpark DataFrames
• Build and interpret Monte Carlo simulations for uncertainty modeling

• Advanced knowledge of Python and PySpark
• Basic understanding of data processing concepts