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...
By Ahmad Varasteh on Coursera
About This 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.
Topics Covered
Frequently Asked Questions
How much does Data Analysis Using Pyspark cost?
Visit the Data Analysis Using Pyspark course page for current pricing and available discounts.
Who teaches Data Analysis Using Pyspark?
Data Analysis Using Pyspark is taught by Ahmad Varasteh, Coursera.
What skill level is Data Analysis Using Pyspark for?
This course is designed for all levels learners.
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