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.
KK
Nov 20, 2017
Relatively nice introduction course, contents are maybe rather limited, yet as an instructive course, it does provide a clear overview which correlates well with the required answers for the quizzes!
创建者 Abhilash K T
•Apr 26, 2020
Overall, the flow and the materials covered are good. I was really interested to learn the statistical part of the course, however, there were very few examples and the speaker went through all the materials like everyone here knows all the statistics that he was teaching.
创建者 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.
创建者 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.
创建者 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!
创建者 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.
创建者 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.
创建者 DIKSHIT A
•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
创建者 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.
创建者 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.
创建者 Fei Z
•Mar 10, 2022
too easy, some part of statistic not very clear, but maybe becouse this is a beginner course, I will do rest of the course.
创建者 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.
创建者 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.
创建者 John M
•May 14, 2017
The course is very concentrated and short. I suggest to add more time and explain things in more detail.
创建者 Michael O S
•Jan 20, 2020
Somewhat easy for an introductory course, but good for people without prior background.
创建者 Jean-philippe M
•Oct 25, 2016
Good introduction to the field
Good presenters
Poor illustrations during course
Thank's
创建者 Kriti S
•Jun 16, 2020
basic introduction. The statistics lectures were new to me. good for a start.
创建者 Harshita M
•Sep 2, 2020
Not worth the time for a person having a biology background.
创建者 Junior B
•Jun 27, 2020
A nice but sometimes to shallow introduction into genomics
创建者 Angela P M
•Jan 16, 2017
Good as introduction, but pretty basic for me.
创建者 Sabila
•Feb 4, 2021
requires prior knowledge
创建者 양은제
•Oct 18, 2017
so fundamental
创建者 ANJALI P P
•Apr 23, 2020
It was good
创建者 Donghui H
•Oct 13, 2018
too simple
创建者 Julius C L
•May 25, 2020
SO hard!
创建者 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)