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Learner Reviews & Feedback for Introduction to Genomic Technologies by Johns Hopkins University

4.6
stars
4,545 ratings

About the Course

This course introduces you to the basic biology of modern genomics and the experimental tools that we use to measure it. We'll introduce the 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

AN

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Thanks to everyone who made this. Such can wait to start the second course. h a superb course; it started slowly and sort of an easy thing, but the last lecture was phenomenal

LK

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This course had gave me the overview of the statistical analyses for genomic data analysis. This is useful for me as I can employ those statistical Analyses knowledge in the near future

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651 - 675 of 702 Reviews for Introduction to Genomic Technologies

By Dylan B

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Oct 11, 2017

Basic introduction. I have a biology background so for me this was easy. But for a non-biologist I imagine this may difficult to understand. From a non-biologist point of view I imagine the lecturers can spend more time explaining the biology of the cell and genome replication in a lot more detail. This can be handy understanding why we get certain mutations and why some mutations are more interesting than others (e.g. why are most variants (SNPs) found outside coding regions?).

By Saaket V

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Jan 1, 2018

A good introduction to Genomic Technologies. Positives: Concise, to the point quizzes, at times funny alternatives answers. The instructor was world class. Could have included few examples of technologies and software being used for sequencing. Trends and what to expect in next five years. Linking to the applications like Precision medicine, Companion Diagnostics, and Personalized medicine would have further improved the delivery of the course.

By Raúl O R

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Sep 13, 2021

No es un curso que recomiendo para quienes ya han cursado materias básicas de biología, estadística y leído un poco sobre lo que es bioinformática. Sin embargo, es un buen punto de repaso si es que quieren iniciar desde cero todo lo que esto implica. Yo buscaba una iniciación en herramientas para trabajo de secuencias genómicas como R, Python o cualquier otra cosa, pero tarde me di cuenta que no era nada parecido a eso.

By ELISA W

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Apr 11, 2018

This course included a lot of background information which most I already had. The lecturers were engaging, however, spoke quickly. Luckily I could rewind. Some concepts were inadequately glossed over, but then tested on. Since, as I said, I already had background I could still successfully answer the quiz questions. But I could see how someone who is taking this without prior knowledge would have more difficulty.

By Jessica R

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May 20, 2016

This is an extremely basic course. In my opinion, it isn't worth $49 and is thrown in just to add to the total price of the specialization. It is a useful refresher, but doesn't really contain much information. Just a couple of topics are covered at a very basic level. You could also get this info from watching Youtube videos.

By Abhinaya S

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Oct 25, 2017

Average course. The initial part was taught by someone who doesn't do Molecular Biology and still tried to push off a course material. It sounded like it was dumbed down to below basic levels in some cases and while I understand the course is meant for general population, the material was presented in a very un-scientific way.

By Offer L

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Oct 10, 2023

Generally, this is very good, informative and helpful course. The problem is that Prof. Salzberg's parts are very outdated today (recorded about 2015 and now we are 2023), and the statistics (Prof. Leek) parts could be explained better. I'd be really glad to see updated version of this good and important course.

By Antonio P

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Mar 20, 2023

It was unbalanced the workload of the last week of the course compared to the three previous week. I would suggest distributing better the workload and move some lectures of the 4th week of course to the previous weeks even if the knowledge acquired will be assessed at the end of the course

By Youssef T

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Jul 26, 2021

Not what I expected to be honest, needs a lot of upgrades and further detailed information as the course in total was kinda shallow for people having previous experience/degrees in field. Looking forward to see how the rest of courses in specialization will look like though.

By Abhilash K T

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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.

By Nikita T

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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

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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

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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

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Aug 14, 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

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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 A

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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

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Feb 3, 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

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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

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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

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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

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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

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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

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Jan 20, 2020

Somewhat easy for an introductory course, but good for people without prior background.

By Jean-philippe M

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Oct 25, 2016

Good introduction to the field

Good presenters

Poor illustrations during course

Thank's

By Kriti S

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Jun 16, 2020

basic introduction. The statistics lectures were new to me. good for a start.