1)Many typos in lecture material please fix them.

2) the final exam was too hard, and the practice problems did not prepare us well for this. I strongly reccomend including more problems or more difficult problems during quiz session.

the instruction in week 4 & 5 lab material can be clearer, as well as setting up a stable connection to the database. i spent a lot of time trying to set up the connection, because it keeps failing even though i used the same code.

All the JOIN statements are essential for the proper use of SQL. They should've been included as part of the main course. Students that will move on without getting to learn them are definitely going to regret not learning them.

In the intro to data science specialization, this course is a relatively steep step up from the previous one 'Data science methodology.' Perhaps obtaining some basic understanding of Python prior to taking this course would help

Overall the course provides the concept of SQL and a great picture. Just with technical issue in the Peer-Graded Assignment, causing spending loads of time to find out the solution, which those time could have been saved.

You will not get any software(MySQL, PostgreSQL) installment process in any videos. They keep explaining thory and give a reading section where you get the real practice. I do not like the way course is designed.

This is a course with a lot of information, but the tutorial is not complete, resulting in a lot of time wasted in the debugging environment. The problem is difficult to solve, which makes me very frustrated

If you have zero knowledge about database and SQL...this should be the right course for you..like me...however, i feel like the course is not very structured and lack materials like questions and exercises.

The course teaches a lot of interesting stuff, but is incredibly frustrating with slow, off-site web applications, interfaces that break. It expects you to carry a lot of files across multiple platforms.

fue poco intuitivo en algunos aspectos y nunca pude lograr crear mi cuenta de ibm cloud porque me daba error. asi que tuve que crear mi propia base de datos y resolver los ejercicios por mi mismo

First student did not check my submission at all gave 0 for all of the questions. I really felt sad because I did correctly for the project. I wish Coursera will do somethings for those mean act.

It's a basic course, I enjoyed the last part where it covers Stored Procedures.

It should emphasize more in just pure SQL and teaching advanced techniques than promoting the use of IBM services.

the course is good but the way they teach you is not as good as other IBM courses it was bit confusing for me where to write the code etc the instructions were not as clear as they should be

Useful course, but the instructors aren't engaging enough in my opinion. I only really felt interested right at the end, when I was trying to work things out in the final assessment.

Could not get the dataset from the assignment, always threw xml error, had to go to some other guys github profile who completed the course, thank fully he attached the dataset used

It should be stated that the exercises need to be completed in Watson Studio because there are errors with the Lab tool. I lost a lot of time doing this module with these errors.

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.

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.