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
This course covers the basic data management and visualization using SAS and Python. I like the simplicity and straightforwardness of the contents. Will continue to explore this specialization.
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.
By subrat s•
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.
By Dongzhou Y•
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.
By ERIK S•
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
By Jie Z•
Totally just marketing materials! Don't waste your time with this school at all! You cannot learn a program in a couple of minutes!
By Erik B•
Terrible. A waste of time and money. I recommend doing Statistics with R from Duke instead. This one should be taken off coursera.
By Yasmeen G•
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
By Avinash M•
To sum up this course in one word - 'Hopeless'. Please don't take it. There are better ones available on Coursera.