HORRIBLE course. You basically already need to be at an intermediate level with python and html to know how to do anything. The video instruction has absolutely nothing to do with what they actually expect you to be able to perform in the hands-on labs and final assignment. Which makes no sense sense the ibm data science certificate program is supposed to be for beginners. All in all I learned absolutely nothing, not even outside sources helped. If you really want to learn web scraping I recommend taking an entirely separate course from this.

I feel the content was not taught well at all. Many people are having difficulties with the final project which includes questions that were marked as "optional" learning material. Also, the code given to complete some of the components of the final project does not always want to work making the whole project not work.

This is by far the worst course they offer in this certificate... for some reason all the other courses were hard, but doable. This one has minimal information to help you complete either the exercises or the quizzes. You guys will have to do better because it literally makes me want to stop this course

Up until this class I thought the content was very well organized. one of the most frustrating things about this project is that some of the concepts it covers are introduced in the next class. there is a serious issue with the sequencing of course material.

The IBM team writes me to include me in the new version of the course, but it does not give the option to ask for help, they are all pre-established aids, it is incredible that I have to cancel the course for lack of personalized help. I want to finish it

The assigned project change the questions but the system doesn't update the answer accordingly.

This makes my submit project lost 2 points.

The course actually is quite tough for a beginner like me. I had to google a lot since the materials in the course do not really help to answer the questions (especially the final assignment). But the course instructors are very, very helpful and responsive. I did not personally asked them but they answered to many other students' questions and I can just refer those in the discussion whenever I'm stuck. Overall, the course is still great for learners, gotta put some effort to understand the coding but definitely worth it for your growth! Totally recommend it!

Peer reviews are problematic, for this as well as all other IBM courses on Coursera. The discussion forums are regularly spammed with posts titled 'Please review my submission' while the submissions themselves fail to meet the criteria most of the time. At the same time, reviewers do not take time to go through submissions thoroughly and mark submissions wrong when in fact they're supposed to be correct. Requesting the course staff to ensure some monitoring in this regard, please.

The assessment was overly difficult and there was a general lack of explanation to the exercises. I didn't like the structure, requiring the student to go back to previous modules to take pictures and copy/paste code in new formats

After completing the Python Project for data science, I wondered if it makes sense to continue with the IBM data science course. The project seemed to be a section where someone clearly didn't bother to create an interesting task for students. It essentially involved repeating the same code multiple times with only a change in the provided parameters – in this case, stock tickers. In the end, we create a graph, but we don't truly understand how, as the function that generates it is predefined. This has been the least satisfying part of the entire course so far. I am very very disappointed

My compiler wouldn't work, my peer-reviewed assignment didn't provide any useful feedback, and questions 5 and 6 of the final assignment extended beyond what was actually covered in the course. Intuitively, you could just copy/paste code from the previous lab assignments. I don't feel much more confident in my ability to code after this experience. I may try to review the material to see if I can make something out of nothing.

I think this course is very hard, please try to explain more without this AI voice

Good content, but the exercises can hardly be performed due to technical issues.

Poorly written, and buggy test environments

Not sure why this course was placed 5th in the IBM Data Analyst/Data Scientist Specialization. I was only able to complete it once I studied "Data Analysis with Python". The instructions/lessons were very vague and felt insufficient to complete the final assignment.

Feels like the class isn't done yet...no real instruction is given. Wouldn't mind if this was a free resource perhaps but if I am paying to take this I would at least expect some semblance of organization.

The test is not supported by what is learned on the module. It should be thoroughly revised. The goal of a test is not to trick a student but to check overall capabilities and even, TEACH

One of the worst courses I've taken so far. Almost made me want to leave the track. The entire series up to this point hasn't been great but this is, by far, the worst.

There is no lessons. In labs there is no answers or hints to questions, so if you don't know something it is not possible to complete the rest of the task.

All the links for the labs and IBM website don't work. Not recomended at all faced so many problems and limited time as one week only.

Stuff doesnt fix bugs in this course, even though they admit them for years. Fixing them takes most of the time spent in this course

Weirdly made, doesn't have the tools taught to have it function. Pathetic attempt at a course. I wish I could get my money back

Dogshit organization, useless course

need improvment links doesn't work

Very bad course