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