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Learner Reviews & Feedback for Cleaning and Exploring Big Data using PySpark by Coursera Project Network

62 ratings

About the Course

By the end of this project, you will learn how to clean, explore and visualize big data using PySpark. You will be using an open source dataset containing information on all the water wells in Tanzania. I will teach you various ways to clean and explore your big data in PySpark such as changing column’s data type, renaming categories with low frequency in character columns and imputing missing values in numerical columns. I will also teach you ways to visualize your data by intelligently converting Spark dataframe to Pandas dataframe. Cleaning and exploring big data in PySpark is quite different from Python due to the distributed nature of Spark dataframes. This guided project will dive deep into various ways to clean and explore your data loaded in PySpark. Data preprocessing in big data analysis is a crucial step and one should learn about it before building any big data machine learning model. Note: You should have a Gmail account which you will use to sign into Google Colab. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions....

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1 - 17 of 17 Reviews for Cleaning and Exploring Big Data using PySpark

By Farzad K

Feb 10, 2021

I was expecting a project on big data and Spark application on that, but it was only on PsSpark syntax. Not a single word on the Spark technology, only coding.

By Venkat C S G

Oct 13, 2020

The project should include more explanation.

By Alexandra A

Aug 22, 2021

Practical walk through of basic PySpark operations. Great quick-start to using Pyspark for data analysis

By Georgete B d P

Feb 9, 2021

Curso rápido e abrangente de fundamentos para utilização do PySpark

By Aruparna M

Jan 31, 2021

Very nice content

By Pris A

Apr 5, 2021


By Jorge G

Feb 25, 2021

I do not recommend taking this type of course, take one and pass it, however after a few days I have tried to review the material, and my surprise is that it asks me to pay again to be able to review the material. Of course coursera gives me a small discount for having already paid it previously. It is very easy to download the videos and difficult to get hold of the material, but with ingenuity it is possible. Then I recommend uploading them to YouTube and keeping them private for when they want to consult (they avoid legal problems and can share with friends), then they can request a refund.

By Saket R

Dec 15, 2020

More theory behind the functions used and concepts behind spark and how it works in a distributed way would've been more benefitting. Overall it was a worthy course.

By nawaz

Apr 23, 2022

use case could be explained a little better, before actually going to the code

By Juan C A

Mar 24, 2022

fast and simple explanation about ow to start to work with Spak on Colab

By Sahil D P

Mar 16, 2023


By shweta s

Oct 18, 2021


By Jeremy S

Jan 23, 2022

This course uses the Coursera in-browser notebook processer, Rhyme, rather than Google Colab, Python, or Anaconda. If you want to use Pyspark on your home computer or work computer, this tutorial will not show you how to get there. You will need to seek out those instructions separately and install Python/Java/Spark yourself. The instructor demonstrates quite a few functions and methods that will help you to get started with Pyspark, though he does not go into much depth about any of them. You will understand the statements and operations in this course much better if you have a solid understanding of Python, and at least a basic understanding of SQL commands. In my opinion, this course was worth the $10 I paid.

By Dharmendra T

Oct 6, 2020

Overall, it was a good course but I think if some explanations about how things are working, provided then it would have been plus in our learning of data explorations in Spark

By Zhilin Z

Nov 17, 2022

For many codes, the teacher just wrote the codes, without any explanations to why he wrote in that way, without any explanation to what's the goal of a code. There are many one-line codes which are very very long. They are not easy to understand due to little explanation.

By Elizabeth M

Nov 14, 2022

In the sreen where we must practice, the libraries are not working.

By Nguyen D V

Feb 28, 2023

Code is outdated and does not run