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.

The project should include more explanation.

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

Curso rápido e abrangente de fundamentos para utilização do PySpark

Very nice content

Perfect!

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.

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.

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

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

Good

good

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.

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

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.

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

Code is outdated and does not run