Jul 16, 2020
In this course we can get many ideas and opportunities of the english and the meaning of many things we used to no many things we should have been working many ideas and then how we should shall have
Jun 26, 2018
This is a great course for beginners. The course instructors have arranged the course at a very comfortable pace and this is a great beginning point for anyone who wants to learn SAS or Python.
Oct 06, 2015
good but i thought it will cover most of SAS technology. But it has covered basics only .
por Tiffany P•
May 01, 2016
Course material needs to updated to reflect current software updates.
por Jonnatan S C•
Mar 04, 2016
Very superficial. Too few in statistics, too much in python and SAS.
por Rong G•
May 16, 2018
So many unanswered questions in the forum. Peer reviews suck
por Ponciano R•
Jan 10, 2019
The course is good, although it goes a little to fast.
por Aneeshaa S C•
Jul 05, 2017
course should've had deeper python content.
Dec 27, 2015
The content is OK, but that's about it. Near zero interaction from staff, short videos leave a lot to be desired, and worst of all, there seems to be a problem getting everyone's assignments peer reviewed (which makes no sense).
There is a somewhat comical thread wherein staff direct students to contact coursera directly via a "contact us" link on a page, but get this, the link isn't there. Students repeatedly pointed this out only to get directed again to the non-existant link. In an online forum it's important to actually address concerns. Replys that avoid directly addressing concerns sound like automated messages. And that's the feeling I get here.
This course requires a DIY attitude and a willingness to proceed without feedback.
If you're looking for a good example of online learning, look elsewhere.
por John F•
Jul 13, 2020
Some of the presented python code has been depreciated; this would be particularly challenging for students new to the code. The use of quantitative variables is not well described at the start of the course which would add challenges for students who choose these variables and are marked by students who have not. Having beginners marking beginners is not an effective evaluation technique. I did not receive useful feedback on assignments; typical statements included ".", "good work", and, "needs improvement".
Dec 08, 2016
A very beginner level course aimed at starters who dont have much experience with Data. Emphasis was on teaching Data Management with area of our interest. In Order to support this, assignments didnt had clear objective. I would have learnt a lot more through a course had they been more defined assignments.
Not a course if you are looking to be ready for data related interviews. However, this course will be okay if you are working on some other field and want data management as an extra skillset.
por Andrey M•
Jun 11, 2016
It is too small and shallow. Whole specialization is actually one full course split into 4 tiny parts.
por Gildas B•
Jul 04, 2018
I'M only 5 and i do not understand what x=x+5 means so make the quiz eazyer thx
por Kasper M A•
Nov 14, 2019
Took way to long and tomuch effort to get assignments evalueted by peers
por Tor A H•
Jul 07, 2020
Some of the python code is not actual and has been deprecated
por Ivan K•
Jan 24, 2016
The highest video production values of any class I've seen on Coursera so far. Unfortunately, that's the best part of the class; the support is simply nonexistent (a post by someone associated with the staff from a previous run of the course suggests getting help troubleshooting Python from Coursera staff), the instructions for the class software are out of date, the source material for the assignments is sometimes unsuitable to the task you're asked to perform (e.g. statistical analysis on a data set aggregated from disparate sources), and the pretty videos are at times completely unrelated to the actual assignments (the very first week with the literature review). Dropping this specialization like a hot coal; it looked quite promising, but the aggravation over the poor organization and lack of support considerably outweighs anything I could get out of it.
por Claudio P•
Apr 13, 2017
I am disappointed because the course doesn't provide profound material on data analysis with python. The videos are too short and the samples demonstrated in the videos aren't thoroughly explained. For instance, the speaker often only says what she is doing but not WHY she is doing it or what the function of a particular parameter is. I felt left alone and forced to google. In my opinion it cannot be the purpose to make your student google basic things that could easily be integrated into the course.
Considering that this is labelled as a beginner course I was expecting much more theoretical input. Other courses offer additional slides and scripts that are aligend with the course videos and allow the students to look things up.
por Eelco H•
Feb 05, 2016
Very disappointed about this course. The topic is very interesting, for me at least, but the course organization is horrible. Lectures do not provide enough information to complete the assignments. Zero interaction from course staff. Issues with getting assignments graded. In previous session the staff just refered you to the coursera helpdesk, but you cannot easily contact coursera directly.
Main focus of course seems to be earning money and not educating. Be warned and don't pay for this course!
I really don't get why this course has so many good reviews.
por Wanfeng P•
Oct 18, 2016
The professor and instructors don't understand how to properly write SAS programs and ignored constructive feedback. It's very sad to see students follow suit by producing hard to read codes, ignoring programming conventions.
As an analytic leader in healthcare industry (I am supervising some of my junior level team members to get some basic training), I want to say something to the students graduated from this course: if you program the same way as being taught, you will lose a competitive advantage during job interview.
Dec 26, 2017
Basically: The course is geared more towards those with quantitative research questions. While it's a good introduction to the theory of research data management, and they encourage you to choose your own research question/data set, it's quickly obvious that the lessons mostly apply to those with categorical data. As my research and work deals with qualitative data, there wasn't much for me until Week 4.
por subrat s•
Nov 09, 2015
The support from the faculty and the website is beyond explainable bad. The user interface gets stuck without reasons. There is no direct way to contact the faculty, if you are stuck on any assignments. There is hardly anyone who responds to the feedback that is sought for!!
I will never recommend someone to do this course.
por Dongzhou Y•
Oct 16, 2016
This course didn't talk too much about data management and visualization, which made me feel quite disappointed. And you couldn't feel you could practiced what you learned in the course in the assignment. Most part of the assignment just focused on making some comments.
por ERIK S•
Dec 03, 2015
Bad material, poor graphics, wrong mc questions in videos.
More hype content than a course.
This is not the way to learn Python, seriously don't take this one
por Jie Z•
Dec 11, 2016
Totally just marketing materials! Don't waste your time with this school at all! You cannot learn a program in a couple of minutes!
por Erik B•
Feb 26, 2017
Terrible. A waste of time and money. I recommend doing Statistics with R from Duke instead. This one should be taken off coursera.
por Yasmeen G•
Feb 25, 2018
I feel that I am wasting my time
The video lectures are simple but I do not have any idea about what to do in the assignments
por Avinash M•
Mar 31, 2019
To sum up this course in one word - 'Hopeless'. Please don't take it. There are better ones available on Coursera.