Amazing

Thankss

Thanks

good

Great

Good

This course could've been better. I'm not sure whether to give this course a 2 stars or 3 stars.

I appreciate that there's an extra week to complete this course as there's only one week in this course, because if I haven't, I probably wouldn't submit the work in time.

Just like the previous course, I think we need a more in-depth understanding how to use Beautiful Soup because this is pretty hard to understand as this is not very well explained in my opinion, it sort of felt rushed. Also worth noting that append function would be removed in the future version of python and use pandas concat method instead, I couldn't get concat to properly work, and no video or labs covered the pandas concat function.

Another issue I had with this course is that if you have to post a forum to answer your question/solving a problem you have, you'll have to wait for hours if not a day for a response, maybe it's because of time zones, I'm not entirely sure. No disrespect to the staffs/moderators or throw anyone under the bus, I do understand that they're busy in other stuff other than monitor the forums and address questions, concerns, or problems. but I do believe quicker response for learners would benefit learner partaking this course or any courses down the line.

Overall, it's not a terrible course, nor a great course. It is in between.

After doing several of the other courses in the IBM Data Science Specialization, this course was poorly put together.

The videos were of low quality, could barely read what was on the screen. If it was not for the written script of what was said, then I would not have followed along.

The ideas presented seemed to be constantly jumping around. Mentioning on idea, bounce to another, then bounce back.

The labs were put together well, and were essentially a hands on version of the videos. But organized.

It appears that a different person put together the labs compared to who was in charge of the visual learning.

As for the project: it was a decently easy assignment. I have jumped around in my courses, so I may have had other exposure and experience than others normally would at this point in the series.

A decent course overall. Great introduction to web scraping.

3 stars--this class is not for beginners, repeat not for beginners and should not be included 1/2 way through this certification course. This is a class that needs to be moved to the end of the certification courses, where you understand about working with tags and attributes and know how to look up libraries. You need to inherently understand more than a brief introduction into some principals of Python. It's rated at "only taking about 3 hours", I spent 3 hours just researching how to get a table to populate because the labs don't tell you how to work with classes in HTML, nor how to write a loop to populate one. This is an middle of the road intermediate class, not a beginner one. If you are in this certificate and new to python and programming....wait until the end before completing it, I'm sure it will make a whole lot more sense.

This course is absolutely not for beginners as it is already assumed that you know how to code with Python. While I did not really appreciate to be stranded in being forced to crawl the internet to find how to solved some exercices instead of being taught, I appreciated the Quizz format in this one. Instead of the usual impromptu quizz during a video, you must complete hands-on labs to give the answers which is great. Now, it has been tough on me because I am a Python beginner but for more advanced users, it might be fun. I just wish the lesson would recap at the beginning some of the features/functions which are going to be used during the lesson to ease a bit the stress during the labs. On the other hand, there are a lot of useless sections which really deserve to be grouped together.

I could not answer the 3rd question in the 2nd quiz , to 66.66% grade due to the following issue

Question 3

None of this values are present in the dataset

69 1-Jun-21 504.01 536.13 482.14 528.21 78,560,600 528.21 This the last value ordered by date, whithout sorted is

Date Sep 01, 2015 Open 109.35 High 111.24 Low 93.55 Close 103.26 Volume 497,401,200 Adj Close 103.26 Name: 69, dtype: object Please advise

The videos and quizes were helpful. The assignment had lots of prompts but ultimately, for someone with no prior knowledge of Python programming, it was impossible to complete the project correctly. The task was to create dataframe and create some graphs, however, using the prompts provided it was only possible to get the yearly not quarterly data which meant that the tables and graphs were incorrect. It is frustrating as I am not sure what I am expected to know and be able to do.

extremely rushed course. I understand that learning Python requires several months, but in this course very little was taught. Most of the exercises were basically a copy paste of the example, while at the same time the explanation of some methods and graphs wasn't even included. I personally would feel a bit lost if I were to extrapolate data from zero, I think few more harder exercises would benefit the content of this course.

This is an easy and very short project that lets you apply programming tasks such as web scrapping using Beautiful Soup and Requests Python libraries, as well as Pandas. You are guided step by step. Maybe it should be more difficult. Anyway, you end up learning very valuable things and are able to apply what you have leraned in the previous certificate courses. I would have liked it to be longer and more challenging.

The project is good, it helps us practice what we've learned in the previous course. It can be a little bit more difficult to ensure complete understanding of Python. The downside is that the Watson Studio & GitHub are unnecessarily complex. We should use either one the instructions are not clear and I wasted 2 days trying to get the graphs to appear on Watson Studio & they didn't even appear on the GitHub.

Warning for those whose native language is NOT English: These IBM Data Science courses are in DESPERATE need of review by a native English speaker. If English wasn't my first language, I can only imagine how much I would have struggled. It is pretty unbelievable that they expect people to pay money for courses that have so many many grammar, syntax, and audio transcription errors.

There was an issue with a table from the GME URL for the final project, which required a coding workaround to resolve that we were not taught. This caused the final assignment to be unnecessarily challenging and time-consuming, which, though useful for troubleshooting and learning how to fully utilize the course resources (ie discussion forums), was quite annoying and frustrating.

The course material is good. However, the program has some issue when I have time to learn. I have to come back several times to complete the project. Also the code to use IBM Watson Studio only allow limited numbers of hours to use. It discontinued me while I was at the last question in the final assignment. I couldn't continue to get the output for the graph

The content is fine, but there were a large number of errors, inconsistencies, and typos which made the course difficult to work through. I would not recommend this course to others. It is based around an API which was not the most stable. At times I had bugs running the code which the course designers had written, due to the code being out of date.

Not gonna lie, this one was rough compared to the others. Documentation in the hands-on labs was so-so and in the final assignment, I encountered numerous issues that seemed to be on the course's side, such as the notebook telling me that something was not installed when it is clearly being installed first thing when starting the assignment.

There were some typos in the material and overall I thought the material could have been better organized. The quizes also asked for specfic results from the labs rather than testing on knowledge of when/how to use certain tools. That said, it was okay, but of the 6th IBM courses I have taken so far, this was my least favorite.

Good real world application of ideas and situations used in the life of a data analyist. I just dont like how coursera / the instructors vaguely answer questions. I am still not totally sure how to complete all the codes and I feel like we are tested on things we haven't been taught in the class.

Like the idea of reinforcing an important topic like web scraping but the length is small so it feels more like an assignment. Also a lot of guidance and hints are provided - the code can simply be copied from previous exercises. I prefer a project where new challenges are introduced.

Me parece que se tiene que organizar mejor el curso. Hay mucho material que no va para ningún lado, ya que es repetitivo. También vale la pena profundizar en la configuración de los entornos virtuales. Ahí queda un enorme vacío. Bastaría con un link con una explicación detallada