The course material is well presented and interesting, but the final assignment is totally out of line. It contains questions with items that are not in the course or prior courses and I for one could not find on the internet. It took much longer and was much more difficult than final assignments in any of the prior courses. The professor needs to change this assignment, in particular question 2. Other people have struggled with the assignment and complained about the course and nobody seems to care.

This course is great, the material is well organized and easy enough to understand and learn however the final assignment is a royal pain due to formatting issues. More time was spent trying to figure out my formatting so I could run my application than learning the material itself. It would be nice if the code for the final assignment could be submitted so partial marks could be awarded. I spun my wheels for 2-3 weeks on this before I could get my dashboard to successfully run.

Thanks, Colin R

This course is POORLY maintained. The instructions are unclear and often confusing. There are errors throughout the modules but especially in the final assignment. The code given by the instructions to download the required libraries was out of date and wouldn't work multiple times. There are also numerous errors in the instructions, misspellings, and an overall total lack of attention to detail which confuses students.

Do yourself a favor and take the Google version of this course!

the videos were short and lacking content. The quzies were sometime not based on the videos, for example, one of the modules were a short 1 minute clip doing a wiki definition of the application or whatever. The assignments were semi okay but virtually all the heavy lifting was already done for the final assignment and the other assignments. I had to look everything up myself for the most part the videos were close to useless. Zero in depth knowledge on anything in this section.

At the end of the course we introduce the tutorial part on an Integrated Development Environment (IDE) based on Theia (an open source IDE platform similar to VS Code) to develop and run Python code. This system is extremely impractical and does not allow to save the exercises on file. In fact, for the final exam, a series of reports are required that are not at all simple and paratic in performing in such an environment and with the few notions explained during the course.

The lessons were great! Super informative and I truly learned a lot. The final assignment was extremely frustrating though as minimal instructions/links were provided and some of the links were broken. The concepts in the final assignment were somewhat related with the course material, but much more advanced (ex: using the artist layer of MatplotLib with looping to create patches was NOT covered in the material). This made what I did learn very frustrating to apply.

Matplotlib, Seaborn, and Plotly are basic visualisation tools with a monotonous narrative and an emphasis on code explanation. The Dash part is not well-organized. The directions are not clear and understandable. As a result, during the project stage, there is a process that is incompatible with the educational goals and will consume needless time. The curriculum and section weight should be reassessed, and more specific criteria should be set.

Often found bugs and errors in the code supplied by the labs. The staff seemed to ignore most of the posts on the forum when other students were looking for help / solutions. The course also fell under the unfortunate category that most online courses fall under - the course starts off basic and understandable and then makes leaps in information and expects students to keep up. Loved the start of the course, hated it by the end.

The final assignment has quite a few issues. I understood the Dashboard design is more for us to have some basic ideas of how it's generated. But it was way more complicated and I ended up spending 2 hours working on it. After finishing it I don't think I learned anything useful in particular. All I was doing was to fix bugs here and there and referring discussion in the course and github. It doesn't make any sense.

The biggest challenge of this course was getting the workshops to work to begin with, and not what the course is supposed to be about. I can't say I learned a whole lot about creating dashboards or visualising data, but I certainly learned more about troubleshooting. Most of the time I spent on this course was trying to get the workshops to work as they were poorly made and contained errors or had other problems.

Very interesting topic with poor materials. Apparently not only I had problems with the final assignment, but earlier materials also were not very precisely explained. It forced me to look for support and solutions outside the Coursera, which is good, but I would imagine that everything is prepared, explained with references to external sources. Sorry, for me this module - great disappointment.

Not good. The quizzes were pointless and the final assignment deal minimal modifications (that have nothing to do with analyzing the data ) that are not covered in the course. Of course you can do these minimal adjustments if you search the documentation for the plotting libraries, however is this was the goal of the course why not teach it? if not, why make us bother with it?

Some useful information but overall this course needs upgrading. Pretty much all of the information was given in the labs which made the videos feel a bit pointless. Final graded assignment required so much outside research not covered in the actual course that it took far longer than expected. Quite surprising as the previous 6 modules were all really well thought through.

This program needs to be updated. There were some things that were outdated. Additionally, for the final, we would be asked to do things that were not covered in the lessons. Although this can help in teaching problem solving, it was quite confusing and overwhelming considering this is an online class in which we have no instructor to go to for guidance.

1. Course videos are repetitive. Infacts videos in this course are useless

2. Plots parameters are used but limited info about those are provided. It is assumed that we already know.

3. Personally, expected more detailed info on some of the charts, word cloud waffle needed more explanation

4. Course is not updated

From all of the courses that I have learned so far, this course are the most disappointed for IBM courses. There are a lot of error in lab sessions. Staff is answering the questions but sometimes didn't help. The content is good as usual, but the program for study and the support is not good enough.

While I did learn some new coding skills, the course still needs to be developed. Mini labs should be conducted after each video to tie information together. If we are to be tested on something, it should be a part of the instruction. This course is part of a beginners' specialization not advanced.

The practical part is a little bit too confusing (containing too detailed usages of specific libraries). Video has a part many times repeated (on the initial dataframe "Canada") which makes watching it becoming more and more tedious. Tone voices inconsistently made by different people

Much time was wasted explaining unnecessary stuff (ex: 2 min recap of data in every video) and useful topics such as seaborn and advanced tools got less attention. Implementation was not even discussed in videos. Video and audio quality is not the best. Final project was good.

Not much detail is given in the lectures! The labs have many information that should be explained in more details! The final assignment is almost impossible to solve with the knowledge given in the labs and videos! My least favorite course in the IBM series so far!

The assignment is overwhelmingly difficult. I understand it is important to do online research when completing the assignment, but I hope more clues and guidance will be provided step-by-step just like other courses within this IBM Data Science Certificate scope.

I think that was the hardest IBM Data Science module I have tried until now. Level of final exercise to me was munch more difficult than lab sessions , which is not fair.

Videos do not show anything relevant, lab sessions have been good.

Some of the example plots don't follow best practices for visualization (I do appreciate that the instructors point out that pie charts are not very effective). There were many bugs in the final project that made it difficult to complete.

Pretty deficient. Everything is read out loud by a bot. Module 4 and 5 start to have certain complexity but explanations are non-existent. It makes it decent the fact that you explore a wide variety of libraries and tools.

IBM really needs to review this course from the ground up. THere are so many things that are not explained well enough. This is a very important part of the certification, so this course MUST be reviewed and improved.