ๅญฆ็ๅฏน Johns Hopkins University ๆไพ็ Getting and Cleaning Data ็่ฏไปทๅๅ้ฆ
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HS
May 2, 2020
This course provides an introduction of some important concepts and tools on a very important aspect of data science: cleaning and organizing data before any analysis. A must for any data scientist.
BD
Oct 25, 2016
This course is really a challenging and compulsory for any one who wants to be a data scientist or working in any sort of data. It teaches you how to make very palatable data-set fro ma messy data.
1176 - Getting and Cleaning Data ็ 1200 ไธช่ฏ่ฎบ๏ผๅ ฑ 1,313 ไธช๏ผ
ๅๅปบ่ Hassan D
โขApr 17, 2020
it gives us good information, but the information sometimes are incomplete or need to be updated( created in 2014!)
ๅๅปบ่ Archana R
โขAug 31, 2016
good course. but some concepts are hard to understand for newbies. so felt it was a bit advanced in parts.
ๅๅปบ่ Anupriya S
โขDec 3, 2021
course material was not clear and precise ..wish it was more explanatory to get our concepts more clear
ๅๅปบ่ Sudarshan C
โขMar 1, 2016
The materiel covered in the course was great, but more assignments instead of quizzes should be added.
ๅๅปบ่ John G
โขFeb 23, 2017
Materials (video and written) only partially prepare the student for the quizzes and course projects.
ๅๅปบ่ Minh L
โขMar 19, 2018
Not as clear and straightforward as R Programming. But definitely a worthwhile course to look at.
ๅๅปบ่ T G
โขFeb 9, 2018
While the available content is good, I expected this course to take me to a more detailed level.
ๅๅปบ่ Felix R
โขJan 31, 2019
Ups and Downs.
Some presented functions are deprecated according to official documentation...
ๅๅปบ่ mohamadreza a
โขDec 20, 2020
Course project was really vague and it took me 3 days to understand what is really wanted
ๅๅปบ่ Brandon W
โขAug 11, 2020
The lessons are good, but they do not prepare you for the tests or end-of-course project.
ๅๅปบ่ Nate H
โขSep 17, 2018
The assignments required A LOT of help outside the information provided in the lectures.
ๅๅปบ่ Jack H
โขJun 1, 2020
Not as good as the other courses offered by this specialisation. In need of an update!!
ๅๅปบ่ Himanshu R
โขOct 26, 2017
Need more lectures on R packages and newly added packages like reshape, dplyr etc.
ๅๅปบ่ Juan A S O
โขApr 25, 2016
The evaluation part of the course needs some fixing. Otherwise, very good course!
ๅๅปบ่ Samidha S
โขSep 2, 2017
Course touches points very superficially. Need to have better reference material.
ๅๅปบ่ Edward A S M
โขNov 3, 2019
More examples of code running in parallel with the course work will be helpful.
ๅๅปบ่ Derek R
โขDec 15, 2017
This course really gets you working with R. The swirl exercises are great.
ๅๅปบ่ ISH G
โขMar 5, 2016
very nicely made course providing a good hands on with R language. Thanks!
ๅๅปบ่ ์ํ์ธ
โขJul 26, 2021
The letrue should be updated. Most of the URL address is not accessible
ๅๅปบ่ Jean-Francois J
โขFeb 5, 2017
The course isn't that hard but there is a lot of content to assimilate.
ๅๅปบ่ Gianni K B
โขJan 29, 2023
Information used in the lesson are outdated, so it is quite useless.
ๅๅปบ่ Ellis I
โขJul 27, 2016
Topics were OK but the focus on R and no other tools is frustrating
ๅๅปบ่ Fabien N
โขNov 8, 2019
The course was good but a bit too versatile for such hard quizzes.
ๅๅปบ่ finbar k
โขJun 25, 2018
Vague instructions in many of the quizes and the final assignment.
ๅๅปบ่ Jatin N S
โขMar 27, 2022
It would be better if for each function there were more examples.