Learner Reviews & Feedback for Data Management and Visualization by Wesleyan University

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.

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.

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.

It is a good beginners course but I think there are better lessons in SAS and Python if learning these is your goal, and the content in data cleaning and visual analysis is very basic.

Nice course to learn Python and some graphing libraries besides doing your own study from real-life data

good but i thought it will cover most of SAS technology. But it has covered basics only .

Very superficial. Too few in statistics, too much in python and SAS.

The course is good, although it goes a little to fast.

course should've had deeper python content.

Very basic level.

Better

It is too small and shallow. Whole specialization is actually one full course split into 4 tiny parts.

I'M only 5 and i do not understand what x=x+5 means so make the quiz eazyer thx

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.

Totally just marketing materials! Don't waste your time with this school at all! You cannot learn a program in a couple of minutes!