Learn how to setup the google colab for distributed data processing
Learn applying different queries to your dataset to extract useful Information
Learn how to visualize this information using matplotlib
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 do. That is when the distributed data processing and Spark Technology will become handy. So in this tutorial, 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 contains two csv files listening.csv and genre.csv. Also, we will learn how we can visualize our query results using matplotlib.
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Prepare the Google Colab for distributed data processing
Mounting our Google Drive into Google Colab environment
Importing first file of our Dataset (1 Gb) into pySpark dataframe
Applying some Queries to extract useful information out of our data
Importing second file of our Dataset (3 Mb) into pySpark dataframe
Joining two dataframes and prepapre it for more advanced queries
Learn visualizing our query results using matplotlib
Your workspace is a cloud desktop right in your browser, no download required
In a split-screen video, your instructor guides you step-by-step
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.
Ok, but needs a longer explanation of the functions that are used and its range of possibilites.
It would have been better if more foundations of Spark framework had been provided
Best guided project for an introduction to the PySpark
What will I get if I purchase a Guided Tutorial?
By purchasing a Guided Tutorial, you'll get everything you need to complete the Guided Tutorial including access to a cloud desktop workspace through your web browser that contains the files and software you need to get started, plus step-by-step video instruction from a subject matter expert.
Are Guided Tutorials available on desktop and mobile?
Because your workspace contains a cloud desktop that is sized for a laptop or desktop computer, Guided Tutorials are not available on your mobile device.
Who are the instructors for Guided Tutorials?
Guided Tutorial instructors are subject matter experts who have experience in the skill, tool or domain of their project and are passionate about sharing their knowledge to impact millions of learners around the world.
Can I download the work from my Guided Tutorial after I complete it?
You can download and keep any of your created files from the Guided Tutorial. To do so, you can use the “File Browser” feature while you are accessing your cloud desktop.
What is the refund policy?
Is financial aid available?
Financial aid is not available for Guided Tutorials.
Can I audit a Guided Tutorial and watch the video portion for free?
Auditing is not available for Guided Tutorials.
How much experience do I need to do this Guided Tutorial?
At the top of the page, you can press on the experience level for this Guided Tutorial to view any knowledge prerequisites. For every level of Guided Tutorial, your instructor will walk you through step-by-step.
Can I complete this Guided Tutorial right through my web browser, instead of installing special software?
Yes, everything you need to complete your Guided Tutorial will be available in a cloud desktop that is available in your browser.
What is the learning experience like with Guided Tutorials?
You'll learn by doing through completing tasks in a split-screen environment directly in your browser. On the left side of the screen, you'll complete the task in your workspace. On the right side of the screen, you'll watch an instructor walk you through the project, step-by-step.
More questions? Visit the Learner Help Center.