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....

대학: 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.

대학: 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.

필터링 기준:

542개의 리뷰

대학: Ananya Joshi

•May 22, 2019

Great depth

대학: Zoltan Teglassy

•May 22, 2019

The 7th week needs clarification on what confidence we use in the tables on 1 and 2 tail T tests, in fact I believe the T-table Coursera has is probably a 2-tail table rather then 1 tail. Other than that, it was a good course.

대학: Jose Ramirez

•May 18, 2019

A nice course, I really learned. I think some of the themes should be more explained, specifically themes corresponding to week 3 and 4.

대학: TIMOTHY MURPHY

•May 14, 2019

Very good course. Well done.

대학: Luis Ortiz Chan

•May 12, 2019

It is a great course, I learned a lot but some recommendations.

The teachers should revisit some R classes, I found some typos and specially week 7 R Class, since most of the class are problems based on the videoclasses but more advanced, getting together topics already taught in a more difficult way, a class about all that is recommended, I understood almost nothing and it was more like guessing.

Some exams need extra explanation of the reasons why an answer is wrong or why the right answer is the correct one.

대학: Ahmed Oraby

•May 11, 2019

perfect course need to be supported with some free material, even those explained as presentations or PDFs. Thanks.

대학: Mariana Arboleda F

•May 10, 2019

I loved the course. I completed it in just 2 weeks and learnt everything I was supposed to learn in my basic college courses and didn't quite fully understood or had already forgotten

대학: Simon K

•May 03, 2019

Really well put together, they made it quite fun, produced at a high quality. However it not easy - there were some things that took me a lot of researching to understand. I guess that's the challenge of online learning...

대학: Adriana María Chávez Mijango

•May 02, 2019

Muy buenas explicaciones y pruebas objetivas.

대학: Rowan Whitefield

•May 01, 2019

A