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Learner Reviews & Feedback for Statistics for Genomic Data Science by Johns Hopkins University

4.2
stars
366 ratings

About the Course

An introduction to the statistics behind the most popular genomic data science projects. This is the sixth course in the Genomic Big Data Science Specialization from Johns Hopkins University....

Top reviews

ZM

Jun 28, 2018

The professor is really enthusiasm, so I was really impreesed by him. And his teaching is brief, and I can learn key points through the lectures. Great course!

CJ

Jul 16, 2019

It is really great that told me lots of basic statistical information that I didn't know.

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51 - 64 of 64 Reviews for Statistics for Genomic Data Science

By Michael R D

•

Feb 12, 2017

Nice course. Ready to apply data.

By Ariful l

•

Aug 12, 2019

good for learning

By Hina A

•

Aug 9, 2022

excellent course

By NAMRATA P

•

Apr 10, 2019

good

By Dr. P R I

•

Mar 1, 2019

good

By Jorge M Z H

•

Oct 8, 2022

The course is god. But is not appropiate for begginers. The instructor is very motivated, and that is very good comparing with other instructors in the Genomic Data Science specialization. But again, there is too much information for the little time. I passed because I knew some thing of R before. In fact, you must know R at a good level.

By Catherine J

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May 19, 2020

Because of short time frame for course, it couldn't present topics in sufficient depth to to practically applied. Well presented for an overview of statistical terminology.

By Xue S

•

Dec 16, 2021

This course covers a lot of useful information. However, it was very fast-paced and some of the concepts were not very clearly explained.

By Rigel Q L

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Apr 10, 2022

The class material and the instructor are amazing. But the exam material is too difficult to find and the audio is AWFUL

By Helen Ü

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Aug 18, 2023

I dont know R language and I dont understand anything. What should I do, should I continue to course?

By Theodor S

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May 23, 2018

too much overlap with Jeff's course in introduction to genomic data science

By Aditya N

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Oct 27, 2020

I feel that more hands on session should be included.

By Dr. R S P R

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Feb 7, 2025

It assumes a ton of prior specialized knowledge from participants. No proper worked out examples. The R videos and examples are pedagogically poor. The audio is low and uneven. Examples and R codes have issues due to endless dependencies and updates, and therefore can not be reproduced. The quizzes are very problematic. And a few are indeed given as wrong/answers such as on reproducible and replicable. Completing those 4 modules/video lectures would take only 4-5 hours, but completing those quizzes would take 4-5 weeks, if only R worked. The course does not give any intellectual advancement or fun. It will only make you a technician. Waste of time.

By Fateme B

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Nov 7, 2024

the instructor talks so fast in a way that it is too difficult to understand it. certainly NOT FOR BEGINNERS, it can be used for someone that already knows all of the concepts and codes and then uses this course as a review, THE WORST COURSE I EVER PURCHASED on coursera