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.
por Lalitha S J M•
Excellent course. I do recommend this course for anyone who is interested in analytics.
por KaKa S•
I would prefer more coding example provided by the professor, I will be super useful.
por Boris T•
Simple material, and nicely presented. Good choice for beginners
por PUNARDEEP S J•
Great Course! More information on Panda would have been better.
por Dan H•
there is not enough instruction of using SAS online~
this is not a review its my personal progress bar
por Amrutha J S•
It was a fresh learning about SAS ! It was nice
por Marcel F•
Very good references - codebooks and examples.
por AKASH T 1•
Nice course , you get to learn alot
por Ram C K•
Very Nice course for beginners!
por Savindu V K•
Really good content and course.
por Abishek M•
IT WAS REALLY USE FULL.
por Seho Y•
It's easy and helpful
por Parvathgari A R•
It was really good.
por Daniel R C•
Wish they offered R
por STEPHEN B M•
por sanskar j•
por Steven B•
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.
por Francois R•
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!
por Avinash S•
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.
por James M•
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.
por Johann Q•
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.