Spark and Python for Big Data with PySpark

Level: Beginner • Duration: 10 hours

Author: Writix

About This Course

This course introduces learners to Apache Spark, a leading technology for big data analysis, and its integration with Python. Designed for those keen to enter the data analytics field, the course covers the basics of Python programming, Spark DataFrames with Spark 2.0 syntax, and advanced features like MLlib Machine Library, Spark SQL, and Spark Streaming. Through practical exercises and mock projects, students gain hands-on experience solving real-world problems. Completing the course equips participants with the skills to enhance their resumes with Spark and PySpark expertise, backed by a LinkedIn Certificate of Completion and a 30-day money-back guarantee.

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Spark and Python for Big Data…

Duration: 10 hours

XP Points: 350

Participants: 0

Materials

- Individuals familiar with Python seeking to apply it to big data. - Developers experienced in other programming languages wanting to learn Spark. - Data enthusiasts looking to enhance their data analysis skills. - Professionals aiming to improve their employability in tech industries. - Anyone interested in mastering cutting-edge big data technologies.