PySpark & Python: Hands-On Guide to Data Processing

This beginner-level course is designed to introduce learners to the powerful combination of Python and Apache Spark (PySpark) for distributed data processing and analysis. Through structured lessons and real-world examples, learners will recall foundational Python syntax, identify key elements of PySpark, and demonstrate the use of core Spark transformations and actions using Resilient Distributed Datasets (RDDs). As the course progresses, learners will apply advanced data handling techniques s

• Recall Python syntax and identify key PySpark components for data processing
• Apply RDD transformations, joins, and JDBC integration with MySQL
• Build scalable pipelines like word count and debug PySpark applications