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Data Analysis Using Pyspark

One of the important topics that every data analyst should be familiar with is the distributed data processing technologies. As a data analyst, you should be able to apply different queries to your dataset to extract useful information out of it. but what if your data is so big that working with it on your local machine is not easy to be done. That is when the distributed data processing and Spark Technology will become handy. So in this project, we are going to work with pyspark module in python and we are going to use google colab environment in order to apply some queries to the dataset we have related to lastfm website which is an online music service where users can listen to different songs. This dataset is containing two csv files listening.csv and genre.csv. Also, we will learn how we can visualize our query results using matplotlib.

Status: Query Languages
Status: Data Analysis
IntermediateGuided Project2 hours

Featured reviews

Reviewed Jan 29, 2021

It would have been better if more foundations of Spark framework had been provided

Reviewed Aug 4, 2020

all is great except the idea of struct function it is a little bit confusing .however all awesome hand-on practice please do more coursers

Reviewed Jan 22, 2022

Quick and good course on pyspark for someone who is familiar with Pandas. Although some more depth can be added to the course by giving short brief on Spark and how it works.

Reviewed Oct 31, 2023

Great Course, appropriate to begin the journey with Pysparks

Reviewed Jul 2, 2023

Overall good course to kick start. More basics could be covered.

Reviewed Aug 20, 2020

Ok, but needs a longer explanation of the functions that are used and its range of possibilites.

Reviewed Nov 14, 2020

Best guided project for an introduction to the PySpark

Reviewed Nov 1, 2020

This course has help equip me with a lot of experience on data analysis and i really love it. Thank you Ahmad Varasteh.A big thanks to Coursera for creating such a wonderful opportunity.

Reviewed Feb 4, 2025

Great introductory course in PySpark. Instructor gives time for you to formulate your response. Focuses on practice via repetition to help you build a strong grasp of basic syntax and functions.

Reviewed Dec 10, 2021

quick start for a newbie with most basic information covered here, worth it.

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