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.
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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.الوحدات
Practical Application Using Guided Projects
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Assignment
- Test your Project understanding
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Labs
- Data Analysis using Pyspark
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- Project-based Course Overview
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Discover the essentials of distributed data processing with the "Data Analysis Using Pyspark" course, an intermediate-level offering in the IT & Computer Science domain. Perfect for data analysts looking to enhance their skills, this course dives into the practical application of Pyspark within Python, utilizing Google Colab to handle extensive datasets. You'll explore real-world data from the Last.fm online music service, working with CSV files to extract and visualize valuable insights using libraries like Matplotlib. Taught by Coursera, this 180-minute course provides a comprehensive introduction to managing and querying large data sets efficiently. Best of all, you can access this course for free. Join now and elevate your data analysis capabilities to new heights!
Ahmad Varasteh