Pretty good course. The peer corrected assignment is avoidable. Instead, a little bit of programming may be introduced! The course becomes extremely boring due to only theoretical aspects and quizzes.

Pretty good overall, although some exercises are a bit difficult to understand from the descriptions and instructions given, some graphs and initial reference documentation for exercises might help

Overall relevant and clear presentations. Course material quite general, but I guess this is expected from an introductory-level course.

Peer-reviewed assignment's instructions can be clearer.

It was a difficult module, although trainer tried to convey but seems it is more complex it took time for me to understand the concept and apply the same while doing my assignment.

Great overview of a few databases and what they are good at. Would have liked actual hands-on like installing a database and demonstrating the key feature the database is good at.

Interesting. Sometimes a little bit overwhelmed by a lot of information within a single video but it gives you an overview of what is big data modeling and management systems.

If you have the fundamental knowledge of database and json, the only valuable videos for you are in week 5. As it says in next course(course 3), the course 2 is not required.

The course provided me a good understanding of the tools and insights on how data could be modeled and managed. I feel confident that I can use the knowledge at work.

Lot of new information, excellent delivery. Given 4 as I feel real-use case flavor is inadequate -exercises could be more intensive, real case studies can be added.

The content is really good and informative. More hands-on would be helpful. Extending the tree structure problem in the pink flamingo exercise was bit confusing.

Would have more extra papers/material to read. The hands-on would also bring some problems/challenges without resolution to let us try by ourself (with answers).

Good Course! Explain a lot about the Modeling and Management System in Big Data. Also, give practical experience in Big Data Management and play around models

Decent course, fair information. Although sometimes instructors seem to forget the audience they are talking to, so it is hard to power through some lectures.

Great course where I was introduced to lots of new technologies, would like to apply them in practice. Would be nice if there were more hands-on exercises.

some courses lacked a clear explanation. It would be better if the professor talked a bit slower in the videos and had there been more hands-on activities

labs could be improved. not all the python features were easily installed, if at all. A few more labs would have been nice to reinforce the points.

Well presented course providing a wide overview of methods, tools and techniques to collect, analyze, manage and visualize data in big data scenarios.

Nice diversed lecture, only the slides could be more visually appealing and the maths involved could be deeper. Gives good overview on the subject.

The course was very informative. One suggestion would be to include more practical exercises as it would help in internalizing the concepts better.

This course is really great for people who want to switch or gain knowledge about Big Data. This is 2/6 part and I am curious what lies ahead.

Very good material and overview. However, still a little bit too basic. Fundamental management systems hands on should be much more intensive.

Great course! Although I think it would be a good idea to have all the HANDS ON instructions downloadable as a PDF to keep in personal files.

Troubles when it comes to the student reviwed tasks, sometimes the puntuation doesn't correspond and is very rare getting a right feedback .

Really nice course. Had a chance to rediscover my data modelling skills. Surely looking forward to more courses in this specialization.

Great coverage on data models, however the online scenario was little too extreme for me - esp. not coming gaming or digital background.