You should add more projects and easy medium and complex task to do

Very good introduction to the methodology, difficulties with Watson

The Final Assignment has several errors when you execute the code.

I learnt about web scrapping but this course could be much better.

Labs and Assignments are extremely confusing but very informative

You copy and paste everything because explanations are lacking

it was a very tough course. i have to do some more learning

final project has bugs and errors when running the code

A good beginner hands-on experience for Data Science.

Students had a lot of problems with IBM Watson Studio

redundant examples.. could broaden and learn more.

Jupyter on Watson Studio is not working properly

I think we need more hands on lab practices.

Esperava um estudo de caso mais robusto.

Informational, but too easy.

Good practice project

not very explanatory

Nice but very basic.

Too hard to follow

so difficult

Encouraging

Good

good

This course has too many issues:

The assignment rates items that are vague: If the quarterly data is demanded, then it should be spelled out and not just "the revenues"! To grade on this is ridiculous!

I was not able to see any links in the reviewed assignments - but I am starting to suspect I cannot see the Watson links! I could not get a Watson account, as the creation failed repeatedly despite me trying to troubleshoot it!

The used python version is old. Methods such as .append() are deprecated now! Also, who uses that python version locally? I would need a new env just for the course...

Some installs or imports gave warnings and failures, for example, for not using the version the employed jupyter version was expecting.

I got full marks despite some misunderstandings due to the vague new(!) text, because the people apparently seriously had enough. I am angry and embarassed that I deducted points in my reviews, as I followed the stupid guidelines! Do note that the new assignment version has new and vague texts. I lost all my previous work when it was updated too. Since it was some time I did it, I could not remmeber the quarterly shennenigans, for example. Kindly do not ask me to repeat this stupid assignment by changing the tables to quarterly, this is utterly repetitive. At least the weird tip to take the [1] (second) table now makes sense again. I marked it as an error in my notebook, as the yearly was demanded by my understanding of the text!

The exam should have been a new problem with at least some slight variations. It should be clearly spelled out what is expected.

I don’t Understand why this is a standalone course instead to be a part of the course on python for data science, most contents are in common and here they are just repeated.

Main lab (used for final assignment) is too easy and guided, most questions say also how to do easier tasks (e.g., get first/last rows of a dataframe), thus it is not challenging.

At the end of the lab I was expecting a discussion and explanation about the meaning of downloaded and plotted data. As said before, explanation is an important part of the data science methodology.