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Informative, but lacks step by step, easy to follow, guided examples, and lacks repetitive practice that tends to help with learning coding and working with data frames

Very Good Explanation of Pandas and Numpy. Difficulty level of Assignments is Medium, it can be increased.

Thank You to overall team. More curious to learn next modules.

Very good course, I liked it a lot, I give it 4 stars because although it is well explained and everything I feel that it lacked content, but everything else was fine.

Though this module didn't go through practical exposures e.g; examples through Python softwares for multiple questions but their theoretical concepts really went well.

I liked it though, there are parts in the labs that aren't fully explained when you try to do them. I expected a guided laboratory to be able to apply what was taught.

The AI aspect of this course was never introduced. It would be more interesting to include a concise short course for AI which is a selling point for the course title.

Course was good.

Lab is really good for learning hands on without setting up everything on my own machine.

Videos explanations should have been longer and more detailed.

Easy to complete even without any programming knowledge. There is still some mistake in the content that can lead to confusion. Overall I had a really good experience.

It would be appreciated to have real life examples while learning such dry subject, as it's hard to see how all the coding interprets in professional or personal use.

it gives you a basic idea of how the python works and makes sure you study it very carefully because there are lot of terms which can be useful for you in the future.

Te explanation for One dimensional Numpy , Two Dimensional Numpy can be improved on. Te explanation for API is not easily understandable for people who are new to it.

This course deserves a 5 star review but I am not giving it as there are two glitches that need to be fixed in some of the quizzes!

Great introductory course to Python

I liked the course, it is very interesting, but I think that the explanation of each video are too quick, and that can be changed, because I had to pause many times.

For a beginner, the course provided great content. My only criticism is that the final assessment contained content that was not covered by any of the prior classes.

Overall the course is designed in a way that is easy for students; however, the week 5 seems to be toughest because HTTP requests were not explained in a better way

it was ok, simple for people that dont have a good knoglede in programing, but i think that the labs and quiz, an video quices needs to improve, there are very easy

Basics were good. But, the instructions under API is tough to follow. Several methods were used which were new to me and were not introduced in this course as well.

I was expecting more exercises because there is where you find your mistakes and correct them. It's the best way to learn something. Otherwise, the course was good.

Remember that it is just for beginners the teaching style and technique is quite impressive I will definitely suggest this course to you only if you are a beginner.

Have issue with IBM studio

creating IAM Manager user for bucket and Notebook details are not clear and UI has changed a lot when you compare with the lecture screen

Non sono riuscita a fare il "Laboratorio Pratico - Scraping del web", dava continuamente errori sulle istruzioni. Ma per il resto elementare, chiaro ed esplicativo

Superb course hands on exercise is given and as it is starting steps for python it is very useful as it covered webscaping, file formats basic python very useful.

Good introductory course. Too fast some concepts. Being able to separate it in two would be much easier to learn. More examples from other sectors would be needed.

The course was fantastic for weeks 1 -3. Week 4 had some weakly written content in the labs and the week 5 assessment was very easy. A good starter course, though!