Spark and Python for Big Data with PySpark

Coursera MOOC / Non-credit USD 49

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Spark and Python for Big Data with PySpark

About this course

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.

What you'll learn

understand foundational Python and PySpark techniques
apply predictive modeling and clustering
design ETL pipelines
manage real-time data processing

Course objectives

equip learners with skills to build distributed applications
prepare participants for roles in data engineering and analytics

Skills you'll gain

python machine learning apache spark pyspark big data predictive modeling data analysis etl pipelines data clustering real-time processing

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