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Learner Reviews & Feedback for Data Analysis Using Pyspark by Coursera Project Network
294 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 - 52 of 52 Reviews for Data Analysis Using Pyspark
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.