Really interesting insights into the general overview of the big data specialization with brain-teasing hands-on exercises and a look to hoe reporting various big data analytics should be undertaken
This is very helpful project where i have applied all learning through ouot journey of this course.Though it was time consuming but worth to invest time, which benefits to upskill my knowledge
By AKANKSHA B•
EXCELLENT LEANING COURSE
By Nameer A•
By Swapnil D•
By Venkata B P T•
Big Thank you....
By Diego M•
By Emilio M•
very good course
By MD A R A•
By Shah M M•
Its so good.
By Pijush K G•
By Luis M M R•
By Anup K M•
By davide g•
By Suraj P•
By Mohamed H•
By Andres M C M•
By John C•
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.
By Alexandre V•
Great course that uses a project to apply what you learned in the others courses. I enjoyed it a lot.
The only point is the technical issues in the installation, compatibility of the cloudera version and softwares to be updated. It is necessary to give more support to the technical issues detected, else as a learner, you spend a lot of your time solving them.
Anyway, I definitely recommend this course if you want to keep learning a lot, It's worth the effort!
By P. H•
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....
By Samuel S•
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.
By Vincent R•
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.
By Simon B C•
Overall a good capstone project. However, the guidance is inconsistent some times. Also the setup for PySpark is not working for a lot of students, for at least 3 years, and they did not uptdate it.
By Gabriel T•
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
By Samuel C•
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.
By Ricardo L C T•
the chat part (graphs) was hard to finish. the bar is very high for this capstone. anyway very good course.
By ISLAM K•
its very good course , here its aggregating all knowledge and information learned in previous courses