学生对 Johns Hopkins University 提供的 Statistics for Genomic Data Science 的评价和反馈
课程概述
热门审阅
RH
Feb 11, 2017
Overall, a very good course. Not without its flaws (inconsistent video audio levels), but I have walked away knowing far more about Genomic Data Science than I expected to.
HD
Apr 8, 2021
This is the best. It opens my eye for genomic data analysis.
51 - Statistics for Genomic Data Science 的 65 个评论(共 65 个)
创建者 Michael R D
•Feb 12, 2017
Nice course. Ready to apply data.
创建者 Ariful l
•Aug 12, 2019
good for learning
创建者 Hina A
•Aug 9, 2022
excellent course
创建者 Mobasser H
•Feb 24, 2025
very tough
创建者 NAMRATA P
•Apr 9, 2019
good
创建者 Dr. P R I
•Feb 28, 2019
good
创建者 Jorge M Z H
•Oct 7, 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.
创建者 Catherine J
•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.
创建者 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.
创建者 Rigel Q L
•Apr 9, 2022
The class material and the instructor are amazing. But the exam material is too difficult to find and the audio is AWFUL
创建者 Helen Ü
•Aug 18, 2023
I dont know R language and I dont understand anything. What should I do, should I continue to course?
创建者 Theodor S
•May 23, 2018
too much overlap with Jeff's course in introduction to genomic data science
创建者 Aditya N
•Oct 26, 2020
I feel that more hands on session should be included.
创建者 Dr. R S P R
•Feb 6, 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.
创建者 Fateme B
•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