The teaching part is not so good when it comes to teach how to install the drivers and create a connection and the project part is the worst of all the staff doesn't seems to care and give a reply to your errors or problems and it takes a lot more time to get it graded....really a bad experience with this course won't ever recommend this to anyone

I would put this a 3.5 instead of a three, but there is no option for that and i do not think it is a 4. The main problem with this course was that they threw at you a lot of complex concepts, functions and operations without letting you practice. Then, at the end, they put a practice lab in which you have to wrap up everything which you have learned, evidently, given the fact that this is a lot of things, you have forgotten things already. Also, there are some things that they never explain, for example the command sqlSave was never mentioned in the videos, and appears randomly at the lab. In the end, you can learn a lot of things with this course, but from week 4 and forward you will have to put a big autonomous effort to understand things correctly. Week 1 to 3 are ok, though week 1 and 2 are somewhat redundant

Poor quality IBM wants people to insert their credit card when in this course they charge $200. Also the are a lot of problems in completing this course I could not complete it because the staff members say they are working on a solution but it has been months and no solution to address the problems especially the credit card issues.

Also one can not interact with the instructors and the staff through MS Teams or Zoom to address common problems you are only allowed to send text messages through the forum which is not time efficient.

I would not recommend this course there are problems which prevent one from completing the course.

The course was well-structured, informative and easy to follow. One suggestion for improvement I have is that a cheat-sheet or catalogue of sorts be provided within the course, which collates all the coding and syntax from the course onto one single space.

This is especially helpful while taking up the course as part of the specialization series. It isn't easy to remember precise code syntax after just one or two uses of a function. As I progressed through the courses in the specialization, I found myself having to return to previous courses and comb through the hands-on labs to retrieve specific codes, functions and syntaxes. This was time-consuming and wasteful, and can easily be remedied by a list of codes (with syntax) used in an entire course.

Apart from that, great effort by the team, and a big thank you to the creators, developers, moderators and testers!

I was really looking forward to finally learning SQL, but this was one of my worst experiences with Coursera. It appears to me that IBM has multiple objectives with this course which increases complexity for the learner, and obscures what should be the actual content of the course. I spent much more time trying to figure out how to get through the different environments, than learning and practising SQL. Given that I don't need any more degrees, it would have been - in hindsight - much more productive to read a book on SQL and complement it through discussions with a ChatBot. I only finished it because I hate giving something up that I have started.

Many lab can't open

Like many other courses I have taken on Coursera, the hand-on labs can be quite troublesome and not work all the time. This can happen in many different ways, but most of the time it means that your progress will be stalled while trying to come up with a solution, or waiting for Coursera to fix the issue on their end. As a result I found myself resorting to Installing RStudio on my machine locally which turned out to be a more daunting task that it initially seemed because some of the libraries used in the course required Java be installed as well, you then also needed to do add some system environment variables and paths as an administrator in order to get java playing nice in RStudio, there were also some other things but after that it was smooth sailing and I could install and use the libraries I needed for the course and others with ease. As someone who is relatively technically inclined and no stranger to the depths of windows, Linux, ides, and various programming languages, this was not so much of a big deal, and I found it to be quite the learning experience, but for those who are not as well technically inclined or do not have the time, it can be quite the headache. Especially since i see so many people flocking to the forums asking why their jupyter notebook isn't running cells properly when they haven't changed the default kernel from python to R, lol. I also found that the course was quite surface level, instructions were full of typos, datasets were old and had corruption issues, and some of the progressions in the hands on labs were jarring or made little to no sense in some aspects. for example hard coding a list to do some operations on when we had downloaded a whole dataset right before only to use the dataset at the end of the lesson to do work with code we were given. The final exam is also a pain when it comes to submission and grading. Instead of being able to upload multiple files per task we are only able to upload one. This requires the student to pick and choose what is important instead of being able to upload all their code and results. Being able to upload multiple files per peer grade task would make it much easier on the student and grader. On the topic of peer grading, the user cannot click the uploaded images and see them in their full size and resolution. this makes it so the person grading can barely make out somebodies work and has them guessing as to what exactly they wrote or what the errors are. The entire peer grading system for final assignments needs to be refined to allow for increased useability. It isn't a hard thing to do. Its still a good intro but there are definitely a lot of rough patches that need to be worked out. Its still worth taking if you have no experience with R.

While some of the course material is great, there are some parts that require you to have more knowledge than what is being taught. I was under the impression that I would learn everything during the courses. Some of the information in the courses are not available and looking up some answers will give you information information from different systems. This would be a 5 star course if there was more information on some subjects and the right information for others.

First three modules on SQL were excellent, but the pace was too fast/instructions unclear in modules 4 and 4.

This course is quite thorough and made me fall in love with SQL. The instructions are simple and you get to practice everything in the lab sections. I cannot wait to work with my newly acquired skills.

it was great i learned a lot and also was useful for me to understand a lot in data science field ...Many Thanks

Great graphics and easy to understand explanation. I'm grateful to Coursera for this wonderful opportunity

Well designed course with exposure to ODBC and JDBC...

You computer should run windows to make it easier, if mac it's a bit harder and involve a lot of googling. Also information about Db2 is so not cleared. The course let you look it in the website yourselves and then the website also is not cleared and not user friendly. BigQuery from Google is way better and easier. But the SQL concept of the first part of the course is good and understandable.

Videos are informative, praticing lab very helpful but one thing is not good about this course that is getting so many errors while running the queries. not able to complete the assginment because of error. Even after using same queries recommanded in lab its not working in juypter. its quite irritative

I felt like a whole lot of functions with R were being introduced all at once. A little overwhelming for someone with not lot of coding background but great regardless.

Again, more time is needed to develop a baseline of knowledge.

Would it really be a problem to include videos on how to install/implement tools and labs? IBM labs is - by far - the least user-friendly solution for learners compared to courses on Coursera offered by IBM's competitors. I had huge problems with ALL of their labs on all of their modules, and where possible use external tools to perform exercises e.g. in R Studio/MySQL. The IBM support is poor (wait for days on responses to requests for help) and even worse is their Cloud assistant who navigates you to a new page to perform some corrective task & then... disappears. Attention to the user experience is minimal/non-existent, fulfilling course exercise is mind-blowing frustrating, and the whole experience inspires zero confidence in IBM.

I have problem while accessing IBM cloud I had written to the service center many times but the problem still exist. I would say this course is totally wasted my time. I am rating is "One Star just to submit my review Only" otherwise this does not event deserve one star. Thanks.

the code for ibm cloud doesn't work, your jupyterlab to connect to ibm cloud doesn't work. This course is terrible and please don't use this course/