This course by Professor Çetinkaya-Rundel 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!!!
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!
교육 기관: Chutian Z•
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 self-developed "inference" function. In addition, it's a little hasty in week 4. The pace should slow down.
교육 기관: Amy W•
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•
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•
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•
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•
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•
This course seemed unbalanced compared to some of the other courses and was very work-heavy. I felt it could have, or maybe should have been broken up into two courses, or that other courses should be longer.
교육 기관: Georgios P•
The final project does not help, for example someone used discrete data 1,2,3,4,5 .... ,40 to compute a p.value as if it was normal. It is too general and does not fill the purpose of the course.
교육 기관: Koo•
I love this course. But I have a little bit hard for using the R program. If there is more instruction about using the R program, this course would be a lower hurdle for users likes me.
교육 기관: Amit C•
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•
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•
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•
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.
교육 기관: Paul N•
The teaching is good, the course is a little heavy and a lot to take in in the later weeks. But, as a further grounding for statistics and R, I would very much recommend it.
교육 기관: Adara•
It is a very nice course, I have learned a lot. However, it is convenient to take the previous one of the specialization, as they base some examples or R knowledge on it.
교육 기관: Stefano D V•
Without a background in confidence intervals and hypothesis testing, I think that it would be very difficoult to understand these concepts in those few videos.
교육 기관: Abiodun B•
This course gave me the toughest time of my life. I did the course for 3 months, i failed project once but i thank God, i proved toughest by passing with 100%.
교육 기관: Sergio E•
The inference function and hypotheses tests are really useful. Permutation tests need more explaining and examples; otherwise they should not be included.
교육 기관: Aaron M•
A good course for learning statistical inference, though I found that more than a week per module was required to really absorb the content.
교육 기관: dumessi•
It is a great course, while some underlying logics are not clearly explained. And the quiz has some unexplained context, which is confused.
교육 기관: Lucia M•
It was a very interesting and useful course. To improve it a little bit, I would focus more on the use of R to do different analysis.
교육 기관: Janusz P•
I liked this course because it gives basic ideas how inferential statistics works, without going into mathematical details.
교육 기관: Peter C•
I thought this course did a great job of incorporating R code into the lecture and hope that continues in future courses.
교육 기관: Rohit D W•
An Introductory course with a lot of examples and a project at the end to furnish your concepts and knowledge.
교육 기관: Richard M•
Generally a great course, but would benefit from a better explanation at times of how to use R effectively.