Name: Introduction to Genomic Technologies
Brand: Johns Hopkins University
Availability: OnlineOnly
Rating: 4.6 (739 reviews)

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

4.6

stars

4,797 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

Nov 16, 2019

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

Feb 13, 2020

Clear and concise. Ministered by researchers with outstanding background in research, able to translate topics of relatively high complexity into easy language for a broad audience.

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726 - 739 of 739 Reviews for Introduction to Genomic Technologies

By luz p g d c

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Jan 29, 2021

The course is a good introduction to the field but must be updated. In year 2021, lectures and data should not be from 2014 the latest.

By Dave K

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Jan 8, 2022

This course is very out of date. The charts the instructor shows are dated 2009! That is 11 years out of date!

By Courtney S

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Jun 24, 2018

Not much content for an entire "course", but hopefully a good introduction to the rest of the series.

By Mario L

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May 9, 2016

Explanations of concepts are too complex for non-biologist who want to approach the Genomic field

By Fatma E

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Sep 29, 2023

The teachers speaks very fast

By Kris R

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Mar 10, 2017

Too basic.

By Alessandro B

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Mar 17, 2025

I started this course because it seems interesting to me regarding bioinformatics. I am a computer engineer so I would have been definitely facilitated for the python code part. Unfortunately the videos are very old and the explanations are either useless or too dense with poorly introduced concepts (sometimes there is no logical sequence). In short... better to go elsewhere to avoid wasting time.

By Dagmawi T F

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Aug 17, 2025

by far the worst course i took on coursea , the professor are slide readers, they dont really explain the concept behind the code they r showing us . Had to finish to 1st module and unenroll to find a better course. its worthy to mention that the couse is also from 10 years ago. Its also outdated!

By Jason M

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Oct 31, 2017

The material is trivial and yet presented chaotically. Additionally, there is a quality reminiscent of a child pooping in the potty and then begging for applause.