Nov 13, 2018
content of the course is remarkable and the way they explained concepts is very lucid. I just want to give suggestions please give link to the data set they are using for illustrating the concepts.
Feb 03, 2018
I wish I could give more rating than 5 :). Excellent course. Thanks so much for such an excellent course. All the instructors are great.
par Дюкарев В В•
Sep 16, 2019
This is 2nd course of specialization and its better than 1st, but big big problems with outer grader system is still there :(
Another minus is that there is too much theory (graph algorithms especially) and too less practice, i think 1/10. You know theory is forgotten very fast.
Nevertheless its good, valuable course for review of technologies
par Evgenii K•
May 15, 2018
Grading system it terrible, it hadn't work for a week summary, no help from staff on Coursera forum, only Slack channel could help. Theoretical material is quite good.
par ANNAMALAI A•
Aug 26, 2019
Few Environment not supporting frequently.
par Li W•
Aug 14, 2019
The biggest problem is the English speaking of lecturers, except week 6. It brings lots of difficulties to catch up with the notes and understand the ideas, auto subtitles even failed to translate in lots of places.
However, content is really good since week 4.
It will be great if the lecturers could illustrate or demonstrate the ideas instead of just reading the notes, as we all can read the notes.
par Кряжевских С В•
Dec 02, 2019
I'm very disappointed by technical support in this course. There was a whole week, when all students can't submit their assignments to BigDataTeam's grader system. Among course's materials you'll get very uncertain introduction to Graph theory with very unclear and hard to understand final assignment (for honored students). You shouldn't look for Online Notebook button while taking assignments in all this specialization. There is no one! But every practice material will confuse you by pointing to this button. Nothing changes about years, I guess.
par Григорьева М М•
Nov 04, 2019
Didn't like the course for several reasons:
1. Mentors seem to leave the course. Do not expect any feedback from them.
2. Notebooks are broken for months so you can't perform assignments without docker.
3. Weeks are not consistent, the material quality differs enormally from week to week.