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

4.6
stars
4,742 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

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!

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476 - 500 of 728 Reviews for Introduction to Genomic Technologies

By Deleted A

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Nov 10, 2024

Good

By Amogh V H

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Nov 9, 2024

nice

By Tharun k D

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Nov 4, 2024

Good

By RIDDHIMA J

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Nov 2, 2024

good

By Sonu

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Nov 1, 2024

good

By yinwenjing

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Jul 18, 2023

good

By José S

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Mar 11, 2023

Good

By Andrew C

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Jan 19, 2023

good

By Abinesh R L

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Dec 26, 2021

Good

By Suryavathi

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Oct 6, 2021

Good

By Mona A A

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Aug 6, 2020

good

By 18B202 A

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Jul 9, 2020

Good

By Apurbo M D

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Jun 5, 2020

Good

By NIRMAL P

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May 13, 2020

good

By Nandamuri C j s

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Apr 16, 2020

good

By Laban B

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Nov 21, 2018

nice

By MUTHURAM

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Nov 10, 2018

GOOD

By PHILIP O

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Aug 13, 2018

good

By Asad Z

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Jun 27, 2020

a1

By Muhammad B

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Jan 20, 2024

v

By PRIMA H P

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Jul 8, 2022

O

By Karam A

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Jan 28, 2021

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By Meghana J

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Feb 17, 2016

A

By Camila P

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Jun 22, 2025

It was disappointing to see that time wasn't taken to fix and improve lectures where mistakes were made in the teachings. Although warning dialogues were displayed and the updated class materials were made available, the audio is still misleading. The transcripts also need to be cleaned up ("batch effects" transcribed as "batrifacts", etc.). It was also surprising to see the huge gaps in expected prior knowledge across subjects. For example, a multiple-choice question in one of the assignments required understanding the role of ribosomes in protein synthesis, but ribosomes were not covered in the lectures. This is high-school biology, so it was less of a shock compared to the questions around topics like Family Wise Error Rate, which was covered superficially at best in the lectures, with a teacher who was very difficult to follow (awkward phrasing, chaotic structure of courses, stuttering, lack of vocalization, would quickly discuss complex or advanced mathematical topics without explaining the basics, but spend a long time to wordy explanations of simple subjects that did not require dumbing down). The assignment questions on Family Wise Error Rate however, required a very good understanding, not just conceptually, but actually knowing how to apply the formulas and calculate values which was not taught at any point during the lecture. All in all the course has potential but it needs some cleanup, better visual supports for complex topics, more structured scripts/outlines for teachers not as comfortable speaking in front of the camera, and a better baseline for the expected level of prior knowledge and expertise from students (lots of time spent drilling topics from high-school biology, not nearly enough time dedicated to explaining college-level mathematics/statistics concepts and teaching how to practically apply statistical concepts, formulas, etc.).