Understanding statistics is essential to understand research in the social and behavioral sciences. In this course you will learn the basics of statistics; not just how to calculate them, but also how to evaluate them. This course will also prepare you for the next course in the specialization - the course Inferential Statistics.
In the first part of the course we will discuss methods of descriptive statistics. You will learn what cases and variables are and how you can compute measures of central tendency (mean, median and mode) and dispersion (standard deviation and variance). Next, we discuss how to assess relationships between variables, and we introduce the concepts correlation and regression.
The second part of the course is concerned with the basics of probability: calculating probabilities, probability distributions and sampling distributions. You need to know about these things in order to understand how inferential statistics work.
The third part of the course consists of an introduction to methods of inferential statistics - methods that help us decide whether the patterns we see in our data are strong enough to draw conclusions about the underlying population we are interested in. We will discuss confidence intervals and significance tests.
You will not only learn about all these statistical concepts, you will also be trained to calculate and generate these statistics yourself using freely available statistical software....

創建者 PG

•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.

創建者 CD

•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.

篩選依據：

494 個審閱

創建者 Abhay Kashyap

•Feb 17, 2019

Excellent course structure! Very well presented with adequate visual teaching aids and examples!

創建者 Olokojo George Edward

•Feb 13, 2019

I find it mind blowing and i love the tutors style of demystifying statistics using daily life examples/cases

創建者 Syberen van Munster

•Feb 09, 2019

The instructional videos are clear, nicely illustrated, and contain good examples that make you get an intuitive grasp of the course material. Exams are good and the feedback provided references the lecture in question, so that you can re-watch it, very nice.

The biggest drawback of this course are the R labs. The questions are extremely sloppy, full of spelling errors. Most of the questions could have been asked during the regular exam, since all you are doing is submitting answers, no programming needed at all. If there are multiple questions in one section, there is no way of knowing which one you got wrong, it will simply say "something isn't right", which is very infuriating.

I hope they will shift these questions from the R lab to the regular exam. Given that I'm paying a considerable monthly fee to take this course, I would have definitely expected this aspect to be better, and feedback to be taken seriously, which I don't think it is unfortunately.

創建者

•Jan 30, 2019

I really enjoy to watch each class.

創建者 john newton

•Jan 25, 2019

took the free option. It has been good so far, learning a ton. I find the videos move quickly and after watching them I had to re-read the material, overall i would recommend this course.

創建者 Sandeep Lakshmichand

•Jan 23, 2019

First 3 modules are very good. Going from basic statistics to basic probability. 4th module onward it is not basic anymore. I would split it into 2 parts.

創建者 Alden Mendoza

•Jan 17, 2019

Excellent explanation. A few minor mistakes in the tables but nothing that tips the scale. Great course overall.

創建者 Rebecca Taylor

•Jan 14, 2019

I found it extremely difficult, but it was quite well taught and I feel I have a much better understanding of statistics now.

創建者 Mike Perla

•Jan 08, 2019

This class is fast paced. Weeks 1 and 2 are the equivalent of Stats 101 at a university. Some of the videos cover the topics too fast and would benefit from some additional examples. To truly learn the topics, I visit other sites that cover the topics in more detail, presented in a different manner, and provide more examples.

Pros

Comprehensive

Great illustrations

Cons

Requirement time is grossly underestimated in the course overview

Quiz questions can be stated in a confusing manner

Videos can cover topics too fast without enough examples or information

創建者 xiaoyin

•Jan 07, 2019

very good course