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

Labs and Assignments are extremely confusing but very informative

A good beginner hands-on experience for Data Science.

Students had a lot of problems with IBM Watson Studio

Jupyter on Watson Studio is not working properly

Informational, but too easy.

G​ood practice project

Nice but very basic.

Encouraging

good

You have to review someone's submission to finish the course. The thing is, if there is no submission available for you, you have to wait! You can not finish the class without it! Ridiculous! I waited for a while. But everytime I check, it says same thing: ''There is no submission for you to review right now. Please come back later'' You gotta be kidding me seriously!

One can learn interesting things but the final assignment is a disaster - it is very difficult to sign in to watson studio, one need 1 hour to find a way to do it. Apart from that later for peer review screen shots are needed which on small laptop are nto easy to do. Reviewing others work is also difficult as the photos are reallz small.

Final assignments involve matters that have not been seen during the course. Course should have more explanations, both video and text, and then more practice in order to settle what you have seen. It's not at all a beginners course; perhaps it could be for the matter but not for the explanations.

I think it isn't a good beginner course for Python. There are some things that are not explained and other that are not well explained. However, if you are following the data science learning path, I recommend you do it so you can pass to the next one.

A lot of issues with this course. New information wasn't explained in detail and I was left with a lot of questions. Last assignment had a lot of issues.

Spoonfeeding results. It's not a project, you just have to answer 6 questions...

Should be a lab or a section in the previuos course.

Not a fan of Using Watson Studio.

not easy to web scrapping

that not good

Difficult

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.

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.

The IBM Cloud registration and notebook creation got me stuck for DAYS in order to complete the final assignment submission while I could've finished everything in a day or two. Even now, I was not able to access the IBM Cloud to create Jupyter notebook and do not see a solution anywhere at all! What a terrible design to complete the course. It costs money!

I am really not happy with this course. Several missing details and overall feeling ill prepared for the assignments (as was the case with prior courses) . Unclear instruction and missing bits of information make it really hard to progress and learn anything new without feeling like you're banging your head against the wall!!!