ZC
Aug 23, 2017
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!!!
MN
Feb 28, 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!
By Ghada S
•Dec 12, 2019
I think it is a little bit difficult for someone who knows nothing about probability or R.
By mnavidad
•Jun 14, 2018
This course is great learn a lot well explained, the professor is great!!!
By Abhinandan's L
•Apr 1, 2024
Very good learning course, i learnt many things about statistics from it
By Robert F
•Aug 8, 2016
Nice introduction to statistical inference concepts and techniques
By Shalabh S
•May 31, 2017
Very nice coarse for learning methods of inferential statistics.
By Aravindan V
•Sep 2, 2018
Very well structured.Could focus on R programming a bit more!
By romen a
•May 10, 2020
¡Es una pena que no se traten más contenidos! Está genial
By Veeraraghavan V
•Mar 5, 2018
Need to revisit few classes as it was little aggressive.
By Dgo D
•Feb 22, 2017
Its a very good way to introduce to R language
By SAURAV P
•Oct 29, 2016
good powerful insight into statistics. Thanks!
By Takahiro M
•Mar 5, 2017
This is great course as Intro to Statistics
By Sujhan D
•Aug 13, 2021
could be made a little more interesting
By Yuping Y
•Jul 6, 2023
Some lab or reading material outdated
By Nathan H
•Dec 26, 2017
I wish there was more exposure to R.
By José M C
•Jan 4, 2017
Very useful tools for inference
By Yu X S
•Feb 14, 2021
Too hard for beginners.
By YUJI H
•Dec 28, 2017
It is very difficult...
By Nikolaos I
•Mar 26, 2022
very poor contend on R
By vineet r p
•Feb 12, 2021
It was a great course
By FERRIOL , S A (
•Apr 26, 2021
Very helpful
By Ananda R
•Mar 12, 2017
excellent
By joao b p d s
•Mar 9, 2018
excelent
By Hans H
•Aug 18, 2022
I had hope hoped to learn how to conduct inferential statistic in R, but the course focuses a lot on concepts and calculating everything by hand. I think that is good, but not enough. So even after completing the course I'm not able to conduct a ANOVA or calculate chi-statistics in. The quizzes are also very focused on definitions and conditions, containing very tricky wordings at times. So even though you can do all the calculations and you know the right answer, the right answer can be very difficult to identify.
By Shawn G
•Apr 20, 2017
I would give it a 3.5, with the extra 0.5 because of the great interaction, ease of use, and clarity of progress. It was pretty hard for me and I barely made it in under the deadline (jumping session to session to complete). You definitely need some R background by the end for the project. I expected to get more in information in using R for inferential statistics too... though there was a presentation and each lesson had followup for use in R. Great use of examples for each section. That helped me a lot.
By Raffaele S
•Nov 8, 2018
The fundamental concepts of statistics are well explained, however the exercises involvig R are kinda rushed up. Moreover, the R part is accomplished mainly by a library, dplyr, and the main concepts of R as a programming language are skipped. Finally, the peer grade review is a little more advanced than the course lessons and takes really a painful process - but this is a common problem in coursera.