Dec 20, 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.
Dec 03, 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.
By Devon D•
Oct 01, 2018
Great course the skills learned have helped me greatly.
By Ponciano R•
Jan 15, 2019
It´s a really good course, I´d like it to goo deeper into the techniques but still is very useful.
Mar 10, 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.
Jan 28, 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.
By Ashwani p•
Jun 30, 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.
Apr 26, 2016
Una buena forma de introducirte en las herramientas para el análisis de datos
By Teo S•
Aug 01, 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.
By Avinash S•
Feb 10, 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.
By JOSEPH E•
Jan 25, 2016
This course is very interesting and every data scientist should take time and digest it.
By Ashish K Y•
Mar 23, 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.
By Rawan M•
Jun 08, 2018
Covers a good deal of material.
By Claude F•
Feb 14, 2016
Lectures are well realized (animation, change in contexts) and peer review process.
By ayush t•
Jun 05, 2016
Videos are good and to the point.
Animation is very user friendly.
By Abhay K•
Feb 23, 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
By Patricio S C•
Apr 17, 2018
Good course, but need more direct feedback from professionals.
By Praneeth K•
Aug 02, 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.
By Kevin M•
Sep 13, 2016
Enjoyable and easy to follow along with. good videos and examples. Helped fill in some gaps.
Jan 22, 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.
By Yogesh A•
May 23, 2016
Very good from a conceptual point of view.
By Jimmy W•
Apr 21, 2016
Very basic introduction and not thorough or mathematical enough.
By Marta M•
Dec 22, 2016
Interesting but very superficial I would say.
By Daisuke H•
May 03, 2016
There was no explanation about background mathematics. Grading metrics are unclear because assessment of assignments are only peer grading.
By Naomi F M•
Mar 07, 2017
Had important problems with SAS which were due to a bug in the software but did not receive any help from moderators. However the course was good and interesting.
By Adam K•
Apr 07, 2019
We don't have to do the calculus, but some acknowledgement that mathematics, and not syntax, is actually responsible for how these tools operate would be great.