Apr 21, 2016
This is a nice course...thanks for providing such a great content from University of Amserdam.\n\nPlease allow us to complete the course as I have to wait till the session starts for week 2 lessions.
Mar 06, 2016
This course is really awesome. Designed well. Looks like a lot of efforts have been taken by the team to build this course. Kudos to everyone. Keep up the good work and thank you very much.
Feb 25, 2019
The program is good. The videos not so much. The professors are speaking pretty fast. It would have been good to have some written material.
автор: yazhini c•
Aug 16, 2016
R labs are too tedious for people with medical or science background! we need explanations rather than trying to figure it out on our own!
автор: Ivan C•
Jan 07, 2016
автор: Richard N B A•
Feb 09, 2016
Puerile, made up examples with made up data, no deeper treatment of the mathematics involved than the here-is-a-magic-formula-use-it approach and mistakes (including serious conceptual and factual errors) evident in the quizzes and the R labs. Far better to look out for the "Data Analysis and Statistical Inference" course by Duke on Coursera that is presented by a passionate statistics teacher, covers the same material (and more) and provides a far better introduction to R than this course.
One of the stated purposes of this specialization is to clean up the way social scientists conduct science and are perceived as scientists; in this respect, it appears that the worst enemies of social scientists are social scientists.
автор: Charlotte M D•
Aug 20, 2017
I am a complete novice to inferential statistics, probability and R programming. The video lectures were clear enough, but they did not cover everything in the quizzes- quite a few mathematical leaps had to be made, so proceed with caution if mathematical dexterity is not your strong suit. The probability lectures were especially riddled with gaps and leaps in logic that I struggled to follow.
What is more, the R programming does not stick to the vocabulary and concepts presented in the video material. The R assignments are disjointed, unclear, and do not advance, nor compliment, the material.
автор: Kanglu Y•
Feb 07, 2016
I love the main lecture of the statistics. The Subject is fun. After couple lecture, my mind was very clear.
But most of the time I'm working on the statistics software name R. I think it would be better if require R knowledge. If not, student like me will need more than weeks to get use to R. I don't mean learn another software is bad idea. I will always like to learn something new. That's why I go MOOC. What I mean is R and Basic Statistics should be separated. First R, than Basic Statistic. Or first Basic Statistic than R.
I really enjoy the class. but the extra is a bit heavy for me.
автор: Stepheni F•
Jan 01, 2020
I would give this course a 0 if it were an option. I have no use of R, I do not need nor will I ever use R. I am not interested in wasting weeks of my time learning a programming platform that I do not need. It is ridiculous that 80% of the grade depends upon me knowing how to use a programming platform! NO thank you!
автор: Daithi M W•
Apr 19, 2016
The course is as much about computer programming as it is about statistics. The statistics I can do with pen and paper; the programming, I found very, very unhelpful and confusing. Eventually, I gave up on the course.
Jan 14, 2017
Way too much videos and too little hands-on learning. Felt like the course mostly taught you to remember stuff, and not actually learning a skill, though I broke the course early.
автор: Scott P•
Aug 08, 2016
this course was a waste of my time; luckily I found out after wasting only 6 hours on the preview. this course apparently requires a level of probability knowledge I don't
автор: Mark B•
Oct 04, 2018
I'd like to brush up on stat without being forced to learn R. I've already invested quite of bit of my time and resources into learning Python.
Jan 11, 2016
Good lectures, but the R-lab is horrible. Do not take this class.