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Learner Reviews & Feedback for Data Analysis Using Pyspark by Coursera Project Network

4.5
stars
299 ratings

About the Course

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....

Top reviews

AB

Feb 5, 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.

DE

Nov 2, 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.

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51 - 53 of 53 Reviews for Data Analysis Using Pyspark

By Emiel S

•

Jun 14, 2023

Nice to get your hands dirty with pyspark, pretty clear explanations! Personally I'm not a fan of the virtual coursera environement and would much rather have a link to the dataset. Many of the quiz answers have multiple correct responses. Some project question's answers could be cleaner.

By Łukasz Ł

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Dec 1, 2021

Environment not stable - Java instalation errors.

By Kunal K G

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Jul 4, 2021

The course is too short. For analysis similar query was repeated.