Отзывы учащихся о курсе Big Data - Capstone Project от партнера Калифорнийский университет в Сан-Диего

The Big Data - Capstone Project is a great course that is very challenging and requires a significant amount of work hours for a big data first-timer. The great experience could be enhanced by fixing some bugs in software and typos in guidance document.

Interesting final project to complete this course, didn't get 5 stars because:

Clarity could be improved in the instructions and solutions of the assignment

However this is counter-balanced by the amount of plagiarism (if you provide more detailed solutions, some people unfortunately will just copy/paste them).

So I am still wondering how the final results in week 4 were obtained....

Some of the instructions for the tools are not clear enough. It's better to have some more suggested further readings - like statistics with KNIME, operating Spark, etc. For the cases, it is very straight forward and with beautiful data; likely far away from real application.

The project is really helpful to sum up the whole process of the 5 previous courses, but there is a bit problem with the week 4 assignment.

Very engaging course. Well designed and delivered. I also liked the breadth and depth of the course. Liked it and continue use the material as reference

the chat part (graphs) was hard to finish. the bar is very high for this capstone. anyway very good course.

Watch out for week 4. This is the hardest one out of the whole specialization

The course was great for the most part. The material was more challenging than previous courses in the specialization and really helped me pull everything together and understand everything a bit better. I will say that I felt there was a huge gap between what was taught in the Neo4j course and the Neo4j assignment in the Capstone. I'd learned a lot from the assignment, but it took me loads of time and their were parts I still don't really understand. There are also a some broken hyperlinks to previous course material. I'd also like to see better support for a paid service. There is no interaction from a Coursera employee or course instructor in the forums at all. It would be nice to have someone to clarify some instruction or material that may not be clear at times.

Very good practice with the things leart in the other 5 courses.

The course is really good, but some exercises are difficult to be done without technical support.

Working with Splunk is impossible. Taking this course, my intention was not to learn SPLUNK!!! My intention was to perform an intensive, deep and meaningful EDA. However, I've spent 2 days (!!!) for learning...Splunk which is a complex tool of extremely poor usability. This is why I prefer to quit the course and the project (which I really wanted to participate in.

The exercise with the graph is way outside the difficulty level reached in the course. Either provide futher detailed steps to complete with more in-depth explanation of the neo4j query language or simplify the exercise.

The capstone, just like the courses of the specialization are a strong illustration of the problems of higher ed.

Unnecessarily prevented me from completing the specialization when I had time to make me pay extra. I had to wait 2 months for the capstone project to start, enough time to make me forget how I dealt with the excessive number of problems in this outdated course.

Trivial assignments. Low quality lectures. Wrong, conflicting and obsolete instructions. Discussion forums are barely moderated and are filled with spam.