课程概述
热门审阅
PP
Jan 21, 2019
The concepts are explained in a very simple and effective manner with the help of a case study. Background knowledge of R will be very handy if one wants to cover the topics at a faster rate.
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!
451 - Inferential Statistics 的 475 个评论（共 484 个）
创建者 Veeraraghavan V
•Mar 5, 2018
Need to revisit few classes as it was little aggressive.
创建者 Dgo D
•Feb 21, 2017
Its a very good way to introduce to R language
创建者 Saurav P
•Oct 29, 2016
good powerful insight into statistics. Thanks!
创建者 Takahiro M
•Mar 4, 2017
This is great course as Intro to Statistics
创建者 Sujhan D
•Aug 13, 2021
could be made a little more interesting
创建者 Yuping Y
•Jul 6, 2023
Some lab or reading material outdated
创建者 Nate H
•Dec 26, 2017
I wish there was more exposure to R.
创建者 José M C
•Jan 4, 2017
Very useful tools for inference
创建者 Yu X S
•Feb 14, 2021
Too hard for beginners.
创建者 YUJI H
•Dec 28, 2017
It is very difficult...
创建者 Nikolaos I
•Mar 26, 2022
very poor contend on R
创建者 vineet r p
•Feb 12, 2021
It was a great course
创建者 FERRIOL , S A (
•Apr 25, 2021
Very helpful
创建者 Ananda R
•Mar 12, 2017
excellent
创建者 joao b p d s
•Mar 9, 2018
excelent
创建者 Chester J B C
•Sep 8, 2024
Good
创建者 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.
创建者 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.
创建者 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.
创建者 Артур Л
•May 1, 2024
Some examples were too complicated and only added complexity to understanding the material by delving into the context of the example.
创建者 Cezary K
•Jun 30, 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
创建者 mark n
•Jul 18, 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.
创建者 Luke F
•May 18, 2017
The lady could have used a bit more rehearsing before recording.
创建者 Willian A
•Mar 31, 2018
Too much basic
创建者 Keith B L S
•Apr 4, 2022
Good job!