ZC
23 août 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
28 févr. 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!
par Hans H
•18 août 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.
par Shawn G
•20 avr. 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.
par Raffaele S
•8 nov. 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.
par Cezary K
•30 juin 2017
For me there is not much more than u could learn in comparison to previous course. Would expect some more knowledge from this course
par mark n
•18 juil. 2018
great instruction on statistics, but no lectures on R. The R portion of the class is given as a lab at the end of each week.
par Luke F
•18 mai 2017
The lady could have used a bit more rehearsing before recording.
par Willian W
•31 mars 2018
Too much basic
par Keith B L S
•4 avr. 2022
Good job!
par Mevin S
•27 déc. 2021
I would only recommend this course to someone who has learnt the syntax in R and is looking to apply it for statistical inferences. Though the concepts are taught well and clearly, it should have been mentioned that the prerequsite for this specialization is knowning how to code in R because i took this cause thinking it was going to teach me R alongside statistics, and combining the two. Even so, not much programming in R was done which was quite disappointing to me. I would highly recommend learning R on youtube or taking a beginner course on Udemy first before attending this, which was what I did.
par Abdullah F
•6 sept. 2020
Not able to grasp even a single concept. For every topic I've to go to youtube to study it. The instructor seems to read a page. There is a difference between teaching and reading
par JERALD P N
•22 avr. 2021
Tutorial to use the program or software is fundamental in this course
par Alberto M
•19 juil. 2021
Nothing really works well and instructions are not clear.
par vivek d
•29 avr. 2021
will do it later , right too complicated
par Muneera M
•6 nov. 2021
please tel me how to enroll for free
par SachinVargheseBiju
•18 juil. 2020
very irritating
par Deleted A
•21 avr. 2021
putang ina
par farzad s
•25 juil. 2019
awful!!
par Raúl t
•9 déc. 2019
pesimo