Add some Spark to your Python code with this PySpark certification training course, and gain the skills to become a PySpark developer. This course provides an overview of the Spark stack and teaches you how to leverage the full functionality of Python as you deploy it in the Spark ecosystem. 



Eligibility

The global market for Big Data analytics is booming, opening up exciting opportunities for IT professionals. Professionals roles that are ideal for this PySpark course include freshers wanting to start a career in Big Data, developers and architects, BI/ETL/DW professionals, mainframe professionals, Big Data architects, engineers, developers, and data scientists and analytics professionals.

Pre-requisites

There are no prerequisites for this PySpark training course. However, prior knowledge of Python Programming and SQL will be beneficial, but is not mandatory.

Modules

• Brief Primer on PySpark
• Resilient Distributed Datasets
• Resilient Distributed Datasets and Actions
• DataFrames and Transformations
• Data Processing with Spark DataFrames