강좌 소개
최상위 리뷰
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!
추론적 통계의 414개 리뷰 중 376~400
교육 기관: Kirran R M R
•More detailed answers on Quiz questions and some more explanation on R codes will help a lot
교육 기관: Mikhail I
•good course overall. Would love to see more math exercises rather than wording of problems.
교육 기관: Ghada S
•I think it is a little bit difficult for someone who knows nothing about probability or R.
교육 기관: mnavidad
•This course is great learn a lot well explained, the professor is great!!!
교육 기관: Robert F
•Nice introduction to statistical inference concepts and techniques
교육 기관: Shalabh S
•Very nice coarse for learning methods of inferential statistics.
교육 기관: Aravindan V
•Very well structured.Could focus on R programming a bit more!
교육 기관: romen a
•¡Es una pena que no se traten más contenidos! Está genial
교육 기관: VEERARAGHAVAN V
•Need to revisit few classes as it was little aggressive.
교육 기관: Dgo D
•Its a very good way to introduce to R language
교육 기관: SAURAV P
•good powerful insight into statistics. Thanks!
교육 기관: Takahiro M
•This is great course as Intro to Statistics
교육 기관: Sujhan D
•could be made a little more interesting
교육 기관: Nathan H
•I wish there was more exposure to R.
교육 기관: José M C
•Very useful tools for inference
교육 기관: Yu X S
•Too hard for beginners.
교육 기관: YUJI H
•It is very difficult...
교육 기관: vineet r p
•It was a great course
교육 기관: FERRIOL , S A (
•Very helpful
교육 기관: Ananda R
•excellent
교육 기관: joao b p d s
•excelent
교육 기관: Garrett C
•This is an interesting course, but the textbook it uses is outdated by a newer edition, and classes / readings should be adjusted to reference the latest publication. The professor's videos explain statistics very well, but there was really very minimal discussion of R and R Studio in the videos themselves. The weekly labs went over a few R-based scenarios, but did not provide enough examples or a broad enough overview to prepare students to use the program effectively if they were not already familiar with the program. I struggled to try to use R to answer some questions posed by the labs, and there was no real support in the discussion forums to help me figure out where I was going wrong with my commands.
교육 기관: Shawn G
•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.
교육 기관: Tate R
•I think that as a stand alone course, if R is going to be tested it probably needs a R teaching module. At the beginning of the course definitions and key words need to be identified better, in weeks 3/4 this was dine very well. But should be front loaded for obvious reasons. I also think utilizing one statistic set or "situation" frequently would be better when possible so thay learners can understand how the numbers and concepts are changing. But overall very effective course!
교육 기관: Stefan G
•The course is interesting, the instructor competent and you can learn a lot when you also buy the book. Unfortunately the course is a few years old and the materials have not been updated since then. Code samples don't work anymore, links for material or quiz don't exist, references to the book are outdated (sometimes a wrong page, sometimes a wrong version), questions in forum are not more answered, and so on. If the course would be updated, i would rate it 5 stars.
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