peer review assignment instructions are causing confusion as other people have commented. There is no correct answer provided for grading for the cognos questions. Some python libraries are failed to be installed in the provided environment but yet no instructions were provided to address those (as others also commented).

This course does not deliver. The content itself is good, but it was delayed and the labs were broken. Things were not even tested before they were published. If Skills Network Labs is buggy, then at least provide us a way to practice locally. After several great MOOCs on Coursera, I finally found the one that it is disappointing.

The videos are not engaging. Some aspects are explained in great detail and with good illustrations, other import parts are quickly glossed over and assumed to be familiar. I would only recommend this course if you've been working in IT for a while.

I did not like the quality of the course.

Labs are terribly designed.

very poor instructor just read the same thing that is written on the page definitely not recommended

The lab was not avaiable for a few days to complete the final assignment. Poor services.

The worst course in IBM Data Engineering path.

While I am thankful to dive into the syntax and UI of mongodb, cassandra, and cloudant, and that hands-on does provide some value, this course needs an overhaul. The final project is a test of patience. The instructions have typos. There are over 200 threads of frustrated students trying to make their way to the end of the project due to the previously mentioned mistakes in the instructions and unanticipated issues a student may encounter. This could be so much better and I see it as an injustice that this course is great on the outside but rotten on the inside. I suspect dishonesty.

buggy, buggy, buggy. please to yourself a favor and don't take any IBM Data Engineering Course - it's not worth it

Not a good course

This is a good course and introduces useful practical skills. However, I get the feeling that the effort put on the third week is less than the usual standard in the IBM Data Engineering Certification: the lab material needs to be updated and the quiz questions should rely moref in the practical experience in the labs.

practical knowledge as per real time project is more important that is not provided here

An OK quick introduction to data warehousing. I learned some new SQL for analytics that I didn't know about before (I have a dev background). Course materials and quizzes are a bit lazy. For example, in the final assignment, the initial data format doesn't match the schema of the actual data provided for analysis. Also, the quizzes quite often ask specific, non-generalisable questions like "what is the URL to sign up for IBM Cognos".

Great course. It gives a core knowledge of DB Warehousing as well as it describes what are facts and dimensions. Gives some practice creating it from scratch. Knowledge of SQL is quite essential to complete the final assignment.

Practice labs will help as everything is described. Cognos Analytics part is very short but there is the standalone course with more comprehensive practice.

Every course in this professional certification program designed such way that to get hands on real time project experience. The courses are well explained and labs were designed to get hands on experience. I congratulate and wish the team who designed this program and content. Thank you so much all and thanks coursera for this opportunity.

Good course, theory and hands-on alligned! In special, operations in cubes, such as: rollup, drill down, drill up, pivot and others. Thanks!

Well-rounded. I do not realize when this course made me confident with designing DWs, I just followed the course actively.

Excellent material in videos and laboratories. The response of the staff in the consultation forums is outstanding

Excelente curso, pude profundizar demasiado en el almacenamiento de datos y el analisis de BI

A great course. it will be good if you can add more real life examples and case studies

Really great introduction to Data warehouses, applications and operations inside them.

It was awesome experience to Data warehousing and BI analytics

best course ,with a ver clear outline and enjoyable labs

Useful overview with interesting end project