15 de jul. de 2020
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
25 de jun. de 2018
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.
por Daniel R C•
23 de nov. de 2015
Wish they offered R
por Stephen M•
26 de oct. de 2020
por Soham B•
8 de jul. de 2022
31 de ago. de 2020
31 de ago. de 2020
por SANSKAR J 1•
8 de jul. de 2020
16 de feb. de 2016
por Steven B•
28 de jun. de 2016
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•
20 de ene. de 2016
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•
30 de dic. de 2016
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•
5 de mar. de 2016
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•
27 de sep. de 2015
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.
por Chris B•
23 de nov. de 2016
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.
por Markus K•
21 de ago. de 2017
Nice course to learn Python and some graphing libraries besides doing your own study from real-life data
6 de oct. de 2015
good but i thought it will cover most of SAS technology. But it has covered basics only .
por Jonnatan S C•
4 de mar. de 2016
Very superficial. Too few in statistics, too much in python and SAS.
por Ponciano R•
10 de ene. de 2019
The course is good, although it goes a little to fast.
por A C•
4 de jul. de 2017
course should've had deeper python content.
por Juha K•
1 de ene. de 2021
Very basic level.
16 de nov. de 2020
por Andrey M•
11 de jun. de 2016
It is too small and shallow. Whole specialization is actually one full course split into 4 tiny parts.
por Gildas B•
4 de jul. de 2018
I'M only 5 and i do not understand what x=x+5 means so make the quiz eazyer thx
por Adrian L T•
19 de jun. de 2022
I was very enthusiastic at the beginning, althoug the lessons and how they were taught I did not like, I intended to complete the whole specialization courses. But soon I noticed this course is not attended by instructors or barely participants for many years -or so it seems-. The blog system was not very good, specially if the whole thing is not properly conducted and organized. Some informations are outdated and not corrected. The peer reviewing was bad, too. I was getting assignments to review, that are 2 to 7 years old and nobody cares if it blocks the whole reviewing process. Very annoying. I could not help peers and I could not get reviewed either, as one that I got to contact was also getting old assignments to grade until we graded each other. I wrote in Forums but no answer came. The participants, if any, did not appear to greet either. I am sad about this because I was eager to do the whole specialization but no way. I quit.
por SUMAN K P•
14 de oct. de 2021
THIS IS THE MOST WORST COURSE IN MY LIFE. I DO THIS COURCE FOR A LAST 3 WEEKS BUT I DON'T GET ANY REVIEWS IN MY ASSIGNMENT. INFACT WHEN I WANT TO REVIEWS TO OTHER FRIEND'S ASSIGNMENT EVERY TIME I LOOK THERE "THERE IS NO SUBMISSION AVAILABLE NOW" THIS TYPE OF SENTENCE, EVERY TIME. WHAT THE HELL IS THIS. THIS IS MY FIRST WORST COURCE IN COURCERA. I LIKE COURSERA'S COURSE VERY MUCH BUT THIS IS THE FIRST TIME I SEE THIS TYPE OF WORST COURCE IN COURCERA. I AM VERY SORRY TO SAY THIS.
por Dongzhou Y•
16 de oct. de 2016
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.