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Learner Reviews & Feedback for Data Analysis Using Pyspark by Coursera Project Network
314 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
SA
Aug 20, 2020
Ok, but needs a longer explanation of the functions that are used and its range of possibilites.
DM
Nov 14, 2020
Best guided project for an introduction to the PySpark
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51 - 54 of 54 Reviews for Data Analysis Using Pyspark
By Nestoras P
•Jul 2, 2025
Good but simple
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
•Dec 1, 2021
Environment not stable - Java instalation errors.
By Kunal K G
•Jul 4, 2021
The course is too short. For analysis similar query was repeated.