Mar 01, 2017
Great course. If you put in a little effort, you will come out with a lot of new knowledge. I recommend using the book after you have seen the movies. It gives a deeper picture of how it works. Great!
Aug 24, 2017
This course by Professor ÇetinkayaRundel is awesome because it is taught in a very clear and vivid way. Lab section and forum are so dope that I love them so much! Definitely strong recommendation!!!
교육 기관: Raj K P
•Sep 18, 2017
good one
교육 기관: gerardo r g
•Jul 23, 2019
awesome
교육 기관: Guangyuan L
•Aug 02, 2018
amazing
교육 기관: Guangjian D
•Aug 10, 2016
5star!
교육 기관: Praveen S
•Jun 04, 2020
Super
교육 기관: Charles G
•Jan 20, 2018
Great
교육 기관: Gonzalo C S
•Jul 24, 2016
Cool
교육 기관: Sanan I
•Jun 04, 2020
.
교육 기관: Saravanan
•Feb 01, 2019

교육 기관: Radoslaw T
•Mar 18, 2018
O
교육 기관: Wu X
•Apr 07, 2020
I gave this course 4 stars. The missing 1 star is because this course has no content about R (but it is in a specialization called "statistics and R"). This course is only about statistics and the videos and instructor is good. The instructor explained the complex concepts well. At the end of the course, you need to do a project with Rstudio. I had no idea how to clean and manipulate the dataset and I had to drop out this course for sometime and register an account in another online education platform for programming for R specifically and learn how to handle those string, manipulate the datagrams and tables and extract the data I need from a dataset with thousands of variables. And then I got back to this project with more confidence and finally finished that.
교육 기관: Lucy M
•May 22, 2020
Well structured course to take at your own pace. I did a stats course about 5 years ago and this has been a good refresher  not sure how hard it would be for a total novice  i think it would take more time than suggested. Warning, if like me you have prior experience in R the assignments will take a little more figuring out too. The discussion forums have most the answers and help you need and actually the peerreview is really helpful to 'learn by teaching'.
교육 기관: Shahin A
•Oct 01, 2016
Some parts are needed more clarification. In other words, as a student of the course you need to go beyond the materials, since the materials are not selfsufficient. Specially about simulation methods. However, this is not the reason that I give the course 4 out of 5. The absence of any help from TAs, based on my experience, is the reason. I expected some official replies to my question while there are only a few question for each week of the course.
교육 기관: Janio A M
•Jul 29, 2018
Great material although I will like to know more about the practical side of statistical inference. For instance, I have more of less an idea of how to use chisquared test with categorical variables in a dataset however, for the other statistical inference methods such as pvalues and confidence intervals I still don't see where can I use this methods when doing data analysis. Can we use this to detect outliers in our dataset for instance?
교육 기관: Chutian Z
•Apr 16, 2020
Better than the Basic Statistics offered by the University of Amsterdam. That course was too informal, didn't address the techniques and covered too few materials. I love the fact that there are accompanying R labs. However, the course should teach the students the more general R functions (qt,pt,qnorm,etc.) instead of the selfdeveloped "inference" function. In addition, it's a little hasty in week 4. The pace should slow down.
교육 기관: Amy W
•Dec 12, 2019
The course is well designed, and the examples given in each lesson are informative and interesting.
For the final project, I wanted to group some categories from one variable together in a new variable, but I did not have the code I needed to do it. It would have been very helpful to have that information in one of the labs prior to doing the final project.
교육 기관: Richard N B A
•Jun 19, 2016
Thorough treatment of the topics with great examples using real data. On the down side, the treatment of the mathematics behind the formulas is a little light. Great use of simulation to support the theory or to use when theoretical assumptions are not met. Strongly recommended!
교육 기관: Anna D
•May 22, 2017
I loved this course. As with the previous course a lot of things that weren't clear to me before are now. I totally recommend it to anybody new to statistics or anybody who is struggling with statistics (like I have for a very long time).
교육 기관: Robert S
•Dec 27, 2017
Very good material which gives practical knowledge supported by interesting examples. The only concern is that it is slightly shallow  lacking some mathematical justification for the given "rules of thumb" and theorems.
교육 기관: Farsan R
•Sep 29, 2016
Very good introductory course for inferential statistics. It is wise to complete the first course Introduction to Probability and Data of this specialization before enrolling into this one to grasp the concepts.
교육 기관: robert p
•Aug 28, 2018
This course seemed unbalanced compared to some of the other courses and was very workheavy. I felt it could have, or maybe should have been broken up into two courses, or that other courses should be longer.
교육 기관: Amit C
•Feb 18, 2019
The course is very well explained I had to refer other materials for ANOVA technique to understand it better hence that part can be either improved OR more reference material be provided
교육 기관: Zhang Q
•Nov 23, 2018
Very useful course about statistics. May need some fundamental understanding of statistics before, but through the clear explanation and examples, I've learnt a lot from this course
교육 기관: greena m s
•Jul 30, 2020
This is a wonderfully curated course if u follow the readings and practise suggestions. But the main issue is the R programming. It needs better practise than suggested readings.
교육 기관: MEKALA S N
•Jun 10, 2020
Very good course on basic understanding of inferential statistics. Instructor was very clear in delivering the content. The lab work is very helpful in developing R knowledge.