2 мая 2020 г.
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.
25 окт. 2016 г.
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.
автор: Chris M•
5 мар. 2016 г.
Didn't really cover how to deal with messy data, e.g. if you need to join to datasets and have orphans, or you have no foreign keys between two datasets and you need to use fuzzy matching.
Basic validation was also not covered (i.e. making sure that your data covers all that you expect).
автор: Jason R H M•
11 авг. 2020 г.
The explication in every lesson is really bad, and the exercise need more thigs that they explain, you must search the most of the tools in the course, if they make some videos or examples with all tools in the program, maybe can be better but in this moment is not good course
автор: Jonathan O•
18 апр. 2016 г.
I saw two main issues with this course: 1) dated lecture videos, oftentimes with R code that can't be replicated using up-to-date packages, and 2) lack of thoughtful design: example after example after example after example doesn't really teach you anything.
автор: James O•
20 июня 2016 г.
The class is getting stale. The instructors didn't respond to questions on the discussion forums about quiz items, the majority of assessment items seem to be available on Google and 50% of the peer reviewed assessment I checked used plagiarized solutions.
автор: Izabela L•
29 авг. 2016 г.
The code for the final assignment is peer reviewed which doesn't make sense. It should be reviewed by either a TA or some kind of application than can verify what you've done. Also, the assignments were a bit of a leap from the video tutorials at times.
автор: Daan v d V•
7 окт. 2020 г.
Although this course is on a very interesting topic, it is quite outdated. Its lectures and examples are quite outdated; some web scraping examples are incompatible or don't exist anymore, and the described techniques are mostly (outdated) R libraries.
автор: Stephen S•
27 июня 2016 г.
The videos did not teach anything that was going to be on the quiz so it was like answering 5 questions at random using google. The lesson plans and project were very vague and too much time was spent trying to figure out what was even being asked.
автор: Shashank M•
23 июля 2017 г.
This is a very crucial part of the data science specialisation and I feel more hands-on exercises and quizzes should have been there. Small practice quizzes for testing incremental learning within a week should be there.
автор: Eduardo S B•
5 окт. 2019 г.
In my opinion the structure of the course is not the best. I mainly dislike the fact that some libraries, packages, etc. (e.g. MySQL) are not trivial to install.
Still I learnt quite a lot, so I wouldn't say it's bad.
автор: le M N•
23 июня 2020 г.
the instructor of this course, unlike the other 1, is quite unclear about what needed to be done. a lots of the packages of the course are not up to date.
more quiz and exercise would be highly beneficial
автор: Jason Y•
2 авг. 2017 г.
Mediocre presentation of tidy data, which is probably the most critical topic. Otherwise, its mostly just walking through what commands to use in R to load in various file formats.
автор: Patti M•
4 янв. 2017 г.
This class needs more content, more explanation. It is clearly a very important aspect of Data Science, but the assignments were more complex than the given course content.
автор: Sheila B•
7 мая 2018 г.
I learned a lot but my usually happy & grateful attitude was sorely challenged by the fact that so many facts in the videos and obvious course material was, well, wrong.
автор: James K•
11 мая 2020 г.
Out of date material. Many links broken. Some of the functions taught are sunset. Week 2 was too surface level to do anything useful. Weeks 3 and 4 better than week 2.
автор: Joseph S•
14 мая 2020 г.
This course has a very interesting subject and a concise syllabus, but is very poorly prepared. I hope coursera will pass on the message to Johns Hopkins University!
автор: Albert B•
14 авг. 2016 г.
Too difficult practical exercises with the theorical background given. I know that hackers skill should be used but it is too much assumption in the projects!!
автор: Seyed A T•
19 июля 2016 г.
It is somehow just an extension on R Programming course, with many unnecessary details that will be forgotten in a few days after the course.
автор: Sergio C d F•
23 авг. 2016 г.
The video is simple and good.
But the final project and some test are too hard based on material presented.
Also staff's support are not good.
автор: Cintia K•
9 мар. 2021 г.
Unfortunately the course's lectures are quite outdated, so you won't pass week 1 without all the research done by yourself.
автор: Ruwaa I•
18 авг. 2020 г.
I learned "ask Google" and dplyr, nothing more. Not as satisfied as with the other courses in the specialization.
автор: Gianluca M•
19 сент. 2016 г.
The only interesting part was dplyr. The rest was too confusing, with lots of lists and no explanations.
автор: Adam M•
17 янв. 2020 г.
The information in the lectures is very stale, which makes it extremely frustrating to learn from.
автор: DESIREE P•
10 мар. 2021 г.
Messier than the 2 previous courses. Lacks explanations for codebook in the peer-graded exam.
автор: Sudarshan P•
5 дек. 2017 г.
The course material needs update. There are code snippets that do not work.
автор: Aditya D•
18 сент. 2017 г.
This course could have been better. It was all textual and it got boring.