DL
19. Dez. 2015
Again, with no formal SAS training and minimal statistics background. I found taking the first course and then this course - week after week my knowledge grew in a consistent and organized fashion.
AM
2. Dez. 2015
Very good for beginners. concept explanation as well as coding were great. doesn't take too long to finish. I enrolled regression modeling course by Wesleyan and waiting to start.
von Kanda K K
•22. Nov. 2020
the course was good
von Ichsan H
•8. Feb. 2016
Easy to understand!
von Rajat K
•8. Okt. 2016
Intersting Mentor.
von Swatato
•9. Aug. 2016
Really good!
von Panji N
•3. Mai 2018
Good course
von Md M H
•17. Feb. 2017
Excellent!!
von Guan
•28. Dez. 2015
interesting
von Hisham Z S
•6. Juni 2017
I want SAS
von Arnold A
•9. Juni 2016
Very nice!
von Emanuela P
•6. Jan. 2016
great!
von acampagnolo
•27. Nov. 2015
Great!
von ngoduyvu
•16. Feb. 2016
v
von Emily
•21. Jan. 2018
This is based on their previous course (Data Management and Visualization). This course is better in terms of explaining content clearly, and I enjoyed the real-life example used when explaining about the Chi Square test. However, the python coding could be more optimized; for example, it suggests doing the Chi Square post-hoc test for each variable one by one... which can be 15 batches of dictionary recodes! Thankfully someone in the forum provided a solution for doing an automated batch testing. Maybe the course lecturers felt that a batch recode would be too complicated, but it doesn't feel like you could use their method effectively for a work environment, either. In any case, it's still a good course to explain the various data tests for quantitative and categorical data if you're new to statistics.
von Jessica
•28. Jan. 2016
The instructors are pleasant, and the videos helpful. Unlike some classes where it feels like there is gulf between the toy examples covered in the lectures and what's requested in the assignments, the materials available speak directly to the homework.
The virtually non-existent discussion board, lacking much activity from either students or staff, is a real downer.
von Ashish K Y
•23. März 2017
Thank you very much for creating this course. Basic concepts of Population, Sample, Sampling distribution, Sampling distribution variability, Hypothesis testing and ANOVA was really very helpful. the course is designed in a very nice way and the questions in between are of good standard.
von Siyang
•1. Aug. 2016
Very clear description of basic statistics without all the jargons and mathematical formulas behind it. Unfortunately, somehow, such a good course lacks students and the discussion forum is like ghost room with virtually zero interaction.
von Ashwani p
•30. Juni 2016
Very informative. Tedious concepts like ANOVA, Chi square test etc taught in very simple and effective manner.
There're two options for analysis, SAS and Phython. I'd recommend readers to read more on PROC ANOVA for better understanding.
von Praneeth K
•2. Aug. 2016
This course is very good especially for beginners getting started with SAS or python for data analytics. The lessons are very clear and easy to understand. Learnt a lot of valuable information and also enjoyed it.
von Avinash S
•9. Feb. 2017
This was good module. It covers the basics of inferential statistical techniques along with its application using SAS/Python. I would definitely recommend to take up if you are a beginner.
von Maria D P H M
•16. Aug. 2021
Excelente. Buenas herramientas y buena explicación. Los videos en python falto los subtÃtulos en spanish, quede muy interesada en aprender desde python pero el idioma no lo domino.
von Asier
•10. März 2016
It is a good course for a complete beginner in statistical inference. It helped me to understand some points I found confusing in "Statistical Inference" Coursera course.
von Abhay K
•23. Feb. 2016
It's one of the best course for understanding all the statistical tools , used for data sciences. Thanks to entire team for making such a wonderful course content
von Ponciano R
•15. Jan. 2019
It´s a really good course, I´d like it to goo deeper into the techniques but still is very useful.
von Kevin M
•12. Sep. 2016
Enjoyable and easy to follow along with. good videos and examples. Helped fill in some gaps.
von JOSEPH E
•25. Jan. 2016
This course is very interesting and every data scientist should take time and digest it.