- Data Analysis
- Python Programming
- Scalability
- Data Management
- Data Processing
- Exploratory Data Analysis
- Distributed Computing
- PySpark
- Apache Spark
- Apache Hadoop
Introduction to PySpark
Completed by David Salama
December 2, 2024
3 hours (approximately)
David Salama's account is verified. Coursera certifies their successful completion of Introduction to PySpark
What you will learn
Understand PySpark fundamentals to process big data efficiently using Python APIs.
Apply real-time data processing techniques for actionable insights.
Explore Spark architecture for distributed computing and scalability.
Build hands-on skills with PySpark through practical assignments.
Skills you will gain
