课程概述
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NC
Jul 7, 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
Nov 13, 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
76 - 大数据 - 毕业项目 的 99 个评论（共 99 个）
创建者 Samuel S
•Nov 4, 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.
创建者 Vincent R
•Oct 2, 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.
创建者 Muhammet T
•Mar 8, 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
创建者 Simon B C
•Apr 12, 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.
创建者 Gabriel T
•Mar 22, 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
创建者 Samuel C
•Dec 30, 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.
创建者 Ricardo L C T
•Oct 18, 2017
the chat part (graphs) was hard to finish. the bar is very high for this capstone. anyway very good course.
创建者 ISLAM K
•Mar 22, 2019
its very good course , here its aggregating all knowledge and information learned in previous courses
创建者 Allyson D d L
•Apr 26, 2022
This course was good to provide more practical lessons using Splunk, KNIME, Spark MLlib, and Neo4j.
创建者 Jeffrey K
•Jan 7, 2021
A lot more work and time than expected. Some issues with software tools as per expected.
创建者 Sascha Z
•Aug 7, 2017
Watch out for week 4. This is the hardest one out of the whole specialization
创建者 Mark d B
•Jul 18, 2017
Very good practice with the things leart in the other 5 courses.
创建者 Santiago A G
•Sep 7, 2018
Good and very practical challenge
创建者 moataz
•Oct 7, 2020
Good Job, thanks for all
创建者 To P H
•Feb 23, 2019
Not Bad
创建者 Hien B L
•Feb 11, 2021
GOOG
创建者 Mohan R S
•Jul 3, 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.
创建者 William S
•Jul 9, 2020
Poor instructions that need to be revised and updated. Nice to exercise the skills and tools you learned in the prior courses.
创建者 Miguel T
•Dec 31, 2018
The course is really good, but some exercises are difficult to be done without technical support.
创建者 Pradhyumn A
•Sep 15, 2020
should have been more indulging else fabulous
创建者 William R
•Nov 26, 2016
The capstone, just like the courses of the specialization are a strong illustration of the problems of higher ed.
创建者 Mario L
•Jun 26, 2020
The tools user in this course have too many bugs and a lot of time is lost on it.
创建者 Ahmed N
•May 24, 2020
one of the worst courses I have ever had on coursera
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