This course is great! I have learned so many things from it, thank you very much. I really like the IBM cloud platform, it is easy to use and easy to learn. I am looking forward to having the next course!

Great course easy to follow, very good notes, videos and guidance on how to complete the assignments. This is a great introduction course to begin your knowledge and training to be a Data Scientist.

So far in my journey through the IBM Data Science Professional certificate, this course is the best as it contains more practical lab questions after the lectures.

If you want to learn SQL from scratch to advanced level, I definitely recommend this course. It becomes very productive thanks to practice.

it is a great course for beginners who wants to have an understanding of Database concepts and hands on experience as well

I learned so very much about SQL and feel so much more confident about what I know about SQL!

Best Course of all 6 I've completed, simply amazing. Much better than 5 courses before.

Amazing. The difficult in the SQL is very good to make you think in real life problems.

its a must skill for everyone into data science field

Mu buenoo

It was a create course! My only downside with this course was the python part, i felt like it wasnt clear enough and i had to investigate on my own for a couple hours to be able to pass trough that python part. About the other parts (SQL, Usage of PHPAdmin, Usage of IBM DB) it is really clear and all the laboratories are so usefull to understand all crystal clear!

Videos were good length but automated voice-over, learned SQL in the context of their proprietary Db2 database. To their credit, the lectures were fairly short but contained enough information to take notes and learn SQL, and I finished the course in a short period of time. They don't babble which is nice.

The course is very helpful and easy to understand. The reason I only gave it 4 stars is because learners had to deal with many technical issues which were not relevant to the study, while doing labs and assignment. The upside is I guess it is part of shaping the right learning attitude. Many thanks!

Was very comfortable in first two weeks, third week is when advance topic was introduced and I couldn't grasp it. I think this course should've continued concentrating on SQL, as the topics and functions are vast for SQL.

I had no experience with SQL so I would have preferred a separate class for SQL and then a mini-course on how to relate that to databases with Python but overall once I figured it out, I could finish the class.

Good course with practical exercise, however some problem on lab exercise connection

I find the way that homework is submitted very inconvenient. For example, sometime I would need to take a screenshot of both my SQL queries and results, but the way that the panels are aligned on ibm db2 is very rigid that it's hard to put everything into one screen. Also, sometimes we are asked to write several queries but screenshoot to submit only one of them, but in grading the submission one of the grading criteria asks about other queries that was not asked to screenshoot and upload.

In one word, the logistics of this course took me almost as much time as I spent on learning the materials.

Not the best Coursera course I have ever taken, but not the worst either. I found the videos/instruction informative but dull. I read a lot of reviews about this course of people saying that they had problems with IBM Db2, content complexity, and other technical challenges. Did not run into any of that at all. All the technical aspects of interacting with the IBM Cloud are explained in detail, and it is not that difficult in the first place. My only real complaint is the lack of notes/course materials to reference outside of the video instruction.

This course does a good job at introducing SQL and use of Jupyter notebooks for database connections. However, the amount of time wasted struggling with the IBM DB2 cloud platform rendered my efforts less than productive. It appears from the forum that other students were running up against the same issues. Please, instructors, have a look and determine what the problems are (and solutions) so that the students' time is better spent.

On overall IBM data science professional certificate track: Pros: Content is just good enough, instructors are good. Cons: IBM watson and the platform given to practise on is awful and has terrible performance and reliability issues, most often doesnt work and had an impact on my test deliverables. I personally overcame those issues to some extent with kaggle's and google colab jupyter notebook environments.

It is supposed to be a course for beginners, and all related with SQL is good since the tools are provided and I had no knowledge at all about the topic, but once the module 4 begins, all seems to be delivered for people who already handle Python, Pandas and have possibilities to pay the IDBM tools from IBM. I had to take Youtube courses apart to understand a little bit about the course rhythm.

Content wise it's good but it has a lot of technical issues where it took not just me but a lot of other participants a lot of time to deal with. Maybe it would be great to learn SQL and run it from your own machine and not from the IBM cloud - that caused us a lot of headache. :( Otherwise - great course!

This course OK. The problem is the IBM tools. I frequently have problems with the IBM side not responding. The DB2 cloud app seems like it is frequently having issue. Today I am getting a 502 error so I'm wasting a lot of time not getting things done.

The lectures were confusing at first, because the syntax in the lectures did not exactly match the syntax for the assignments (though this issue went away in subsequent weeks).

More exercises would've been nice.

In all, a decent course.

Course was really good but i received a lot of errors while practising with labs and db2. I think somebody really needs to look at instructions esp. for the ones want to practise with jupiter notebook using pyhton 3