This course is a good checkpoint to evaluate our understanding of the previous courses. The assignment had some challenges, but after revising the materials, it was successfully completed. Thank you.

It is a very nice experience when you complete something new and interesting topics.

Python projects are always good this course is all about the analysis of stock data which itself an interesting one.

Had a few issues with my IBM Cloud account and adding the Jupyter notebook but the help\response was great so was resolved quickly.

Great material that can defintely be applied to work experiences.

Best course so far, under the IBM Data Science professional certificate program. It is heavy on the practical side, which is a good thing as it gives the person a more hands-on experience.

this course has been renewed. now with more content (videos also readings), it is a great course to learn about web scraping. valuable for getting datasets.

Excellent course for data science, but coding experience is necessary.

Perfect to practice python, pandas, etc.

Great work

Great course with a hands on project in the end

Hard but worthy

It's not as bad as many people wrote. It was challenging for me as a beginner to python, but it was possible to do if you took notes and reviewed the previous labs. I like that it included work that a financial analyst might have to do. What I didn't like was that in the final project, it wasn't completely clear what to take screen shots of (be sure to take them of ALL the graphs) and that a couple of the tasks were the same. I can't say that I know how to program in Python after this project, but I certainly learned a lot.

Compare to the 4 previous courses in DS professional certificate, I'll say this course will worth your time, although the IBM stuff kinda piss me off. Through this course, you will understand what and how to crawl data from a web page - something you will usually hear like (crawl data from facebook, twitter,...etc) and you can play around with the notebook to get used to it and understand how to crawl data in the most efficiently way and a little bit of visualization

Instructions on web scraping and use of python libraries to extract data was excellent. Usage of IBM Cloud is a nightmare, spent a good few hours trying to sort out and created multiple accounts. I even tried to load my credit card a couple of times to get it working but it wasn't accepted. Luckily it's possible to complete without it. Final assignment has an incorrect url in Question 4 which isn't known until the assignment is marked. I understand that this is an IBM course and IBM would like to use it to demonstrate the capabilities of IBM software, but in this state it does harm to your brand image for potential future clients. Needs some work.

This course need a serious update. Since it is project based, the suppose to be an instructor for one to consult when stocked. The project dataset like packages, libraries that where installed often do not run. may be they are outdated, having been written since 2020. This course is the worse for student. I did not really learnt much, especially the use of BeautifulSoup library for Web Scraping. The concept is not easy to understand, even though I have knowledge of web design.

Mixed feelings .... appreciated the challenge, but I could never have finished without the sample code provided in the Discussion. Perhaps better to rename this "Web Scraping with Python" and provide a ton more examples of different scraping different websites and practice labs. On the other hand, it did get my feet wet and it gave me the motivation to figure this out further on my own.

Good knowledge to learn, but can there please be an option to challenge peer grading? person who graded mine took off 2 points and when I looked back to see what was wrong, my solution matched the given solution exactly?????

Nice to have a practical, but the environment is not as good as coding in an IDE which I think would be closer to real work experience. The instructions were sometimes confusing, sometimes didn't explain what to do properly, sometimes included functions that we didn't learn about and sometimes left out important details that were critical to write code that didn't fail. I think the course would improve if they could better simulate an software environment we'd find in a work place and if they polished up the instructions. I wasted so much time just trying to understand the instructions, googling how to do certain things that should've been taught in the course materials and looking through the discussion forums for why my code was failing which could've been avoided with better instructions.

the lab didn't quite go over what was required on the final. Also it's bs that 2 of the points were from the "optional" IBM Watson. I had signed up before and was unable to use the site again and missed out on two points.

This course seemed disjointed and the flow could be improved. It assumes prior knowledge or requires additonal work outside of the course to master the fundamentals being taught.

The project items were not updated and caused a coding nightmare. It took way too long to complete the course due to this error. The codes need to be kept up to date.

Do not feel that it prepared me for a real life python person. Several issues such as parsing and others were not clearly defined before introducing

Too many errors with IBM Cloud. Took a while for assignment grades.

Sorry to say, this was just an awful experience for me. This is a 7 hour course and it took me about 5 months to complete due to so many issues with coding , software malfunctions, and staff that could not get back to me but once a day during the week and their solution usually did not work. This was mentally draining on me and considered more than once to quit and forsake the Data Analytics specialization certificate but see that I am so close to finishing this specialization (actually I should have been finished by now). Also, after reviewing the forum, it was disheartening to see so many other learners with the same problems from many months ago. This lesson should needs a major overhaul or should be removed for the specialization course since it caused many problems than help.

Honestly these courses are so buggy, the directions are either oversimplified or too complicated, I don't feel like I learned a thing. The whole process was incredibly frustrating. The moderators are helpful and answer your questions quickly and fix your problems, but having so many issues is really disruptive to the learning process and I feel like I'm going to have to do a lot more independent studying to actually learn the skills this course was supposed to teach me. I don't recommend taking it.

This could have been a really good course and the topic is something that is intrinsic to data science. However, it was handled very poorly. There were no clear instructions to complete labs. The videos were not exhaustive in explaining concepts. The final assignment instructions were barely there. The majority of learning for this course is through multiple google searches and running through the discussion forums. Worst course yet. I hope this course is re-envisioned by a core competent team.

Not sure why this is its own course and not part of the previous course that is a prerequisite for this course. Also, it has you do the lab in the online lab and then after you already have done that then it wants you to redo it in Watson Studio for some reason. It should have just had us do it in Watson Studio in the first place or just skip that part since it was not needed and didn't teach me anything.