SS
May 27, 2020
It was well taught. I liked the fact the two professors focused on two different subjects- biology and statistics portion of this course. The paragraphs written below each video was extremely helpful.
GH
Oct 5, 2019
This course provides a gentle introduction to the concepts and terminology associated with genomics. As someone who never took a biology course in high school or university, this course is perfect.
By Nikita T
•Jul 13, 2017
Mostly, it is an interesting course, although it is very short - if a person knows something about molecular biology, then it is feasible to finish it a couple of hours. Nevertheless, probably it provides us with a good introduction to the rest of the series.
By Sergio R B
•May 29, 2020
I did not find the course on an intermediate level, it is pretty basic. The statistics parts need materials different than the videos to have a deeper understanding of the different parameters/calculations and what do they mean.
By Clara M G
•Jun 6, 2020
could have a bit more application of analyses, at least the statistical parts. I enjoyed the application of reading the paper and answering questions. I am looking forward to the next section of the course!
By Khairunnisaa' B S
•Aug 15, 2020
If you are learning this for the first time without any prior knowledge like me,this course is difficult and there are many technical terms which you have to memorise and know for the Quiz.
By Abdur R A S
•Apr 16, 2020
The Graded quiz regarding the statistical part was a bit difficult and the course project article was also difficult to understand and the quiz for that was also not easy to solve.
By DIKSHIT R
•Jun 30, 2020
1 star just for instructors English , it's really disgusting , he is saying too fast .
course content is really good .
He reminds me of Phil Coulson
By Ruan S
•Feb 4, 2023
A quick introduction to the topics. Would like 1 or 2 more complex lectures at the end of weeks 3 and 4 as a teaser for some of the work to come.
By Giuliano B
•Apr 8, 2018
Very basic and introductive to the following courses of the specialization path. Very clear explanation, waiting for the rest of the course.
By Maria T
•Oct 12, 2017
Good overview, but not very detailed - very quick to go through and not for anyone who already knows something about the area of study.
By Suki S
•Mar 20, 2016
This was a little light, despite the fact that this is not my area of expertise. It was a goo start overall, tho.
By Sana S S
•Jul 30, 2020
The lectures were too long and drawling. It would have been nice if lecture slides and readings were provided.
By John M
•May 14, 2017
The course is very concentrated and short. I suggest to add more time and explain things in more detail.
By Michael O S
•Jan 20, 2020
Somewhat easy for an introductory course, but good for people without prior background.
By Jean-philippe M
•Oct 25, 2016
Good introduction to the field
Good presenters
Poor illustrations during course
Thank's
By Kriti S
•Jun 16, 2020
basic introduction. The statistics lectures were new to me. good for a start.
By Harshita M
•Sep 2, 2020
Not worth the time for a person having a biology background.
By Junior B
•Jun 27, 2020
A nice but sometimes to shallow introduction into genomics
By Angela P M
•Jan 16, 2017
Good as introduction, but pretty basic for me.
By Sabila
•Feb 4, 2021
requires prior knowledge
By 양은제
•Oct 18, 2017
so fundamental
By ANJALI P P
•Apr 23, 2020
It was good
By Donghui H
•Oct 13, 2018
too simple
By Julius C L
•May 25, 2020
SO hard!
By Kirk W
•Sep 2, 2023
The first 3 weeks are very engaging and informative.
Unfortunately, week 4 made an extremely abrupt switch to very abstract discussions of statistics, and the paper in the final project completely killed my interest. Even though I passed on my first attempt, it convinced me not to spend any more time on the specialisation.
By Madhuri G
•Feb 22, 2022
The course is extremely basic & outdated. Data science part comes only in the last part of the course, the content could definitely be enhanced with the inclusion of few latest technology information and developed research paper for project work (current project work paper is 21-years-old)