Nov 14, 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
Apr 14, 2018
What a challenge, I came into this course as a London Black Cab Taxi Driver, I thought the knowledge was hard but this capstone was a challenge more intense than the Knowledge of London!!!
创建者 P. H•
Oct 02, 2018
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....
创建者 Vincent R•
Oct 02, 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 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 John C•
Nov 29, 2016
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.
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 Sascha Z•
Aug 07, 2017
Watch out for week 4. This is the hardest one out of the whole specialization
创建者 Mark d B•
Jul 19, 2017
Very good practice with the things leart in the other 5 courses.
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 Samuel S•
Nov 04, 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 Miguel T•
Dec 31, 2018
The course is really good, but some exercises are difficult to be done without technical support.
创建者 Shimon A•
Feb 08, 2019
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.
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 Marcial C•
Jul 10, 2017
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.
创建者 Manik S•
Aug 11, 2019
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.