In this hands-on lab, you will master your knowledge of PySpark, a very popular Python library for big data analysis and modeling. Here, you will learn how to create a dataset using the PySpark library, and to manipulate it using standard filtering and slicing techniques. Your data management skills will be challenged, and by the end of this lab, you should have a deep understanding of how PySpark practically works to build data analysis pipelines.
Upon completion of this lab you will be able to:
This lab is intended for:
You should possess:
Andrea is a Data Scientist at Cloud Academy. He is passionate about statistical modeling and machine learning algorithms, especially for solving business tasks.
He holds a PhD in Statistics, and he has published in several peer-reviewed academic journals. He is also the author of the book Applied Machine Learning with Python.