there is not enough instruction of using SAS online~

this is not a review its my personal progress bar

It was a fresh learning about SAS ! It was nice

Very good references - codebooks and examples.

Nice course , you get to learn alot

Very Nice course for beginners!

Really good content and course.

IT WAS REALLY USE FULL.

It's easy and helpful

It was really good.

Wish they offered R

Well organised

Good

Good

NICE

V

I appreciate the fact that this course doesn't go into the fine detail on how to code everything, I believe there is still more information on the coding and data management practices that could be included in the course content. In addition to that, I feel the course could use the following adjustments to make it better:

1 - Have Python students grade other Python students and SAS students grade other SAS students. While it is nice to get exposure to another language, it is more than enough to learn one at a time.

2 - Add quizes and/or other well formed questions that are graded (automatically, not peer graded) to help enforce the concepts being taught.

3 - Make the assignment instructions/expectations more clear. I feel there are times when the grading criteria don't exactly match the requested assignment. While people follow the spirit of the assignment, the grading questions may ask for slightly different or additional items.

4 - Certain aspects of statistical analysis are glossed over and should be covered in more depth in the training videos. While I like the short videos for brevity, I would prefer to watch 10-15 minutes more content and really feel like the material was well covered.

Felt like a lot of the lessons were more about just following the directions or structure of the videos and not really learning the actual language of SAS or Python and how to be creative with it. I feel like I know how to use them at this point, but only for the specific commands we were instructed on. However, material is clear and easy to follow. I am not a fan of the overall Coursera structure of peer graded assignments because it seems pretty arbitrary or you may do the work and just not get the right number of reviewers and then you're screwed.

The course has its positives, but overall does not perform well instructing on the use of the two statistical software offered (SAS & Python). At the beginning they offer multiple data sets to use and formulate a research question, but all the examples utilize only one data set and do not cover the differences you might face with the other data sets - leading to a lot of missed opportunities. Additionally, the tutorials for using the statistical software do not lend themselves towards a thorough understanding and more to a route learning.

The course is a very good introduction to Python for data exploration and management.

That being said, it focuses too much on categorical data analysis, and I felt the transition to quantitative/continuous data was not very well done.

Moreover, some more explanations about several Python functions or coding choices could be better explained.

But it's encouraging to see this type of statistical course for Python and not R!! Again!

A decent start for anyone interested in learning the basics. However, please make sure you add extra efforts from your end in understanding stats concepts if you are totally new to the subject as well as browsing things related to usage of SAS or python. The course touches only the basics so it is up the learner to explore and learn more about interested statistical tool.

They put a lot of effort into this course, but especially for the videos it was a bit too much. So many different visual backgrounds, sounds, music, text floating it... It's as if they just wanted to use everything, while never thinking about when it would start being too distracting.

The slides are excellent and instructions are clear and to the point. But that point is very limited. The main negative about this class is that there is absolutely no student/TA/teacher feedback and you're pretty much on your own learning.

It was good overall, some of the course materials were a bit sparse. You had to do your own research into getting packages working in spyder etc.

I'd probably recommend that learners learn some python separately and read the docs for pandas.

A great idea to create a project based online course. We should focus on application based learning not on lectures. You need improve this course still. 4 weeks are to short.

We need more deep and more weeks.