The information in the class is outstanding, the problem is IBM Jupyter Notebooks' kernels fail within 10 minutes, and must be reloaded constantly. The final exam requires 10 answers via Jupyter notebook trial and error, and it took me nearly 3 days of constant refreshing to get this done.

This course is not a complete overview of SQL by any means. You will only learn the most basic functions. The value here however is that the course guides you on how to write SQL queries in Python. To round out your SQL skills, you will need to take a more in depth beginner course.

Some quizzes include questions about materials not yet introduced. The material could be much more interesting with more interesting and interactive examples. Hands-on Labs should include new materials rather than letting the students rewrite given queries in sql.

Some of the instructions in the course are not as clear as those provided by other Coursera's courses. There are some sections with outdated screenshots and typos. This disrupts the learning process and requires extra time to guess and sort out the materials.

Decent course. The SQL code is somewhat different and you need to practice it a lot. I do not think you get enough practice to really know SQL just from this course. There is only a few labs and even in there you only actually type a little bit of SQL

a few issues on the assignment which lead to a couple of extensions in the deadline, adding a month extra to pay for, Not all the screen shots were the same in the demos as the interfaces have changed slightly. apart from that a good course

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.

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

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 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 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.

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

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

Some of the documents which are referring to IBM cloud are outdated. Otherwise this course is really good some one like who is beginner in SQL.

This course was OK, but I'd still like to see more hands-on exercises and a final assignment that's more aligned to the prior coursework

Assignment marked by other classmates is not a correct method. classmates often do not read answer carefully and give a correct grade.

The last exercise of the last week is not clear how to do it and the server does not run it. There is no assistance from the forum.

It's nice and it teaches you about SQL, but it lacks practice exercises and sometimes is oversimplified and can be too easy.

Great course for learning how to access Cloud Databases using SQL commands with Python! not so great if you are new to SQL

Once on cuts through all the challenges using IBM cloud, the learning was great. Glad I know so much more about SQL now.

The final project might need to be reviewed. So much time was spent trying to load one of the .csv files without error!

an unnecessary emphasis on using ibm tools which many times don't get interconnected is a big turn-down.

It has the most basic about databases and how to connect python with an database instance on IBM Cloud.