NC
7 de jul. de 2020
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
PP
13 de nov. de 2018
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
por Samuel S
•4 de nov. de 2017
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.
por Vincent R
•2 de oct. de 2018
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.
por Muhammet T
•8 de mar. de 2021
I liked the content and presentation of the courses. However I had experienced problems with the Virtual Machines and had to tussle around to solve some exercises, using some cloud based options of the tools
por Simon B C
•12 de abr. de 2020
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.
por Gabriel T
•22 de mar. de 2018
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
por Samuel C
•30 de dic. de 2017
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.
por Ricardo L C T
•18 de oct. de 2017
the chat part (graphs) was hard to finish. the bar is very high for this capstone. anyway very good course.
por ISLAM K
•22 de mar. de 2019
its very good course , here its aggregating all knowledge and information learned in previous courses
por Allyson D d L
•26 de abr. de 2022
This course was good to provide more practical lessons using Splunk, KNIME, Spark MLlib, and Neo4j.
por Jeffrey K
•7 de ene. de 2021
A lot more work and time than expected. Some issues with software tools as per expected.
por Sascha Z
•7 de ago. de 2017
Watch out for week 4. This is the hardest one out of the whole specialization
por Mark d B
•18 de jul. de 2017
Very good practice with the things leart in the other 5 courses.
por Santiago A G
•7 de sep. de 2018
Good and very practical challenge
por Moataz H
•7 de oct. de 2020
Good Job, thanks for all
por To P H
•23 de feb. de 2019
Not Bad
por Hien B L
•11 de feb. de 2021
GOOG
por Mohan R S
•3 de jul. de 2020
It seemed the assessments were a little difficult, although I did enjoy it pu. I saw lots of learners copying each others content. We need to try stop it.
por William S
•9 de jul. de 2020
Poor instructions that need to be revised and updated. Nice to exercise the skills and tools you learned in the prior courses.
por Miguel T
•31 de dic. de 2018
The course is really good, but some exercises are difficult to be done without technical support.
por Pradhyumn A
•15 de sep. de 2020
should have been more indulging else fabulous
por William R
•26 de nov. de 2016
The capstone, just like the courses of the specialization are a strong illustration of the problems of higher ed.
por Mario L
•26 de jun. de 2020
The tools user in this course have too many bugs and a lot of time is lost on it.
por Ahmed N
•24 de may. de 2020
one of the worst courses I have ever had on coursera