Learner Reviews & Feedback for Introduction to Genomic Technologies by Johns Hopkins University
About the Course
Central Dogma of Molecular Biology and cover how next-generation sequencing can be used to measure DNA, RNA, and epigenetic patterns.
You'll also get an introduction to the key concepts in computing and data science that you'll need to understand how data from next-generation
sequencing experiments are generated and analyzed. This is the first course in the Genomic Data Science Specialization.
Top reviews
SS
May 28, 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 21, 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!
576 - 600 of 726 Reviews for Introduction to Genomic Technologies
By Jeff U
•Jul 3, 2020
The last assignment, reading a scientific paper was quite lame. And, the course needs to be updated - it six year old.
By Omar S
•Jul 31, 2018
it was interesting course but the part of statistics was severely complicated and should be taught in simple language.
By Qianhao L
•Apr 25, 2018
Time of each video is limited, so lots of content are just mentioned without going deeper. Just a introductory course.
By Babar B
•Nov 26, 2024
Course format similar to other Coursera courses, but pace of delivery is comparatively faster, which kept me engaged.
By Noel R
•Sep 22, 2020
Nice introduction that sums up most important topics. Could be a little more specific and/or detailed at some points.
By Jonathan L
•Apr 14, 2022
A little bit too easy, would love a little bit more depth. Overall, good information though. Quizes were reasonable.
By Anagha B
•Sep 23, 2020
The overall course is well designed and interesting. The statistical part should have been explained in more detail.
By Nathnael G
•Jul 24, 2020
The course instructors are very knowledgeable. One just has to take his time to grasp all the concepts, no rush.
By abdelazeem a e
•Feb 22, 2016
it is very good but needs some more explanation and supportive materials other than videos to get more knowledge
By Venkateswara S
•Oct 17, 2021
Well designed the course. Among all modules, Statistics is very difficult to understand. I am very happy.
By eylül t
•Mar 8, 2025
the transition is have some problems but other than that everything was so easy to understand and helpful
By Mohit
•Sep 22, 2022
I learned many new things. The course introduced me to a variety of things which I am earlier unaware.
By Srinivas R B
•Apr 6, 2017
Good information. I would request more activity based learning instead monotonous one-men presentation.
By Matthew V
•Jul 29, 2018
Good course - solid theory, would like to see more projects than tests though. All in all, worthwhile.
By Robert K
•Aug 31, 2016
Good introduction to genomic technologies, could cover more information... but it is an introduction.
By Dibya M
•Mar 25, 2023
expected more practical applications regarding genomics. otherwise a really good course to consider.
By Hans W
•Sep 8, 2019
Liked the introduction, gives a nice overview, well understandable also for the non-biologist.
By Jennifer D
•Nov 21, 2016
Informative. Nice, low commitment class to provide some background to genomic technologies.
By Jose “ G
•Mar 2, 2016
Great introductory overview. I particularly enjoyed the summary of the human genome project.
By Andrea W
•Jul 19, 2019
Informative. Provide a good overview of genomic technologies, data science and statistics.
By Yueqi C
•Sep 11, 2018
This is a great introduction course and help you review the basic knowledge in this field.
By Peter O
•Jul 17, 2017
Better organization on the biological component is needed to be clearer in the definitions
By Danielle T
•Jun 25, 2017
Some of it went a bit over my head, but was nice to have an overview of this subject.
By Jacob A
•Dec 9, 2016
Its called an introduction to genomic technologies and that is basically what it is.
By Himal S
•Feb 24, 2017
It is very useful who are interested in Genomics and overall computational biology.