Not super clear and struggles a bit with accessing and connecting to the DB2 I think the examples should match what is on the assignment and really break down the query language.

The labs in this course did not work. This led me to using external platforms for my assignment which took a lot of time to configure and install relevant modules and libraries.

In my opinion there could be a few things that are done better. Mainly when it comes to quizes and assessments as some other SQL for Data Science courses do it much better.

Useful content but quite a lot of poorly described questions/labs, broken questions, and quiz answers that are 'correct' but not aligned to what we were taught in the labs.

The content of the course was good but it should be updated and coorcted. Especially in week 4 I spent more time working on Labs to work than actually working in the Labs.

Overall, the course provided the basic necessities in learning SQL, though I think that the depth of instruction was lacking in topics surrounding the built-in functions.

The speaker in the videos goes too fast. The hands-on labs are very useful and were my primary sources of learning. The videos didn’t help much with the learning process.

It is challenging for someone who does not know anything about sql and not familiar with phyton. The command is easy if you already have some basic exposure about it.

Solid exposure to a lot of core SQL topics and the Labs provide a place for structured practice. However, there are a limited number of practice exercises available,

The Jupyter Notebook portion was difficult to setup. The instructions for the Jupyter Notebook were incorrect. I had to rely on forum comments to fix the problem.

Far fewer review questions throughout the videos in comparison to previous courses on top of quite a few of the labs not working or lacking in some instructions.

The course is useful in general but the final assignment was rather complicated. These kinds of sub-queries should be included in labs during the course as well.

The python portion of the course is not very involved and poor usage of style (lack of upper case SQL keywords) makes learning more difficult than necessary.

Code presented in the quizzes is really hard to parse, as it is presented in plain text without any highlighting. Slides and texts contain various typos.

The environment is difficult to set up. For someone who knows SQL and has worked on other platforms the IBM Cloud and workspace are difficult to set up.

The course is good, but i think that you will provide a platform to practice while watching the videos. In some examples the data base is not upload.

A little to none explanations, very easy quizzes. Low quality slides. Good if you want to remember lines without understanding what they are doing.

Learnt a lot about connecting database from python and how jupyter notebooks are useful.

Please mention IBM DB2 only, if it covers only IBM DB2.

Thanks

The lesson and video itself is okay in general, but the bugs for the labs and assignment is what makes this course very annoying and time consuming.

very short descriptive course, i had previous knowledge of sql so it was much easier for me but for a beginner it was not comprehensive i would say

multiple times facing issues with external tool, it won't open, the link to download data sets don't work. I couldn't complete the course on time.

Everything else was fine BUT the instruction set for the final assignment was EXTREMELY CONFUSING... unlike any other Coursera course that I took.

the third party tool failed and it was incredibly frustrating to try and move everything to Watson Studio. Once I got that going tho it was fine.

Getting the right syntax for Python and SQL together was really tricky/difficult. I wish there were a reference book/website for additional study.