Spark and Python for Big Data with PySpark

This specialization provides a complete learning pathway in Apache Spark and Python (PySpark) for big data analytics, machine learning, and scalable data processing. Learners will begin with foundational Python and PySpark techniques, advance to predictive modeling and clustering, and explore advanced data workflows including ETL pipelines, streaming, and real-time processing. By the end, participants will be equipped with practical skills to design, build, and optimize distributed applications for data engineering, analytics, and business intelligence

• Apply PySpark to build, optimize, and evaluate distributed data processing workflows
• Design and execute predictive machine learning models for large-scale analytics
• Construct ETL pipelines, real-time streaming applications, and advanced big data solutions with Spark

• Basic computer and internet skills
• Ability to read course instructions in English and complete short practice activities