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....

автор: 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.

автор: 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.

Фильтр по:

Рецензии: 480

автор: Elita Rocha

•Dec 09, 2018

Excellent explanations by both professors and very interesting illustrations and examples! Thank you to the team.

автор: Xavier Serfaty

•Dec 04, 2018

I finished this course in around 3 weeks (instead of 8 because I needed to learn fast), it was dense but also a wonderful experience. Nice teachers, nice quizz, nice R-labs. Plenty of examples, easy to follow. I cannot give 5 stars because, unfortunately, there are some mistakes in few lectures and the questions in the quizz and R-lab are sometimes not thoroughly enough written, (clearly not written as do pure mathematicians), and consequently the answers will sometimes depends on your interpretation. In this case, (a little bit frustrating !), you just have to be patient and to try to understand how the teachers think.

However, I STRONGLY recommend this course that is increadibly pedagogical.

автор: Aurangazeeb A K

•Nov 27, 2018

An awesome class and teachers !.

Statistics now feels like childsplay. Thanks you University of Amsterdam for making this amazing course.

автор: Laura DONG

•Nov 19, 2018

Great!

автор: Yifan Zhao

•Nov 16, 2018

excellent

автор: B VENKATA SAI KRISHNA

•Nov 13, 2018

very good course

автор: norbert boruett

•Nov 05, 2018

wonderful course- well taught

автор: MANAS SINHA

•Nov 01, 2018

IT WAS GREAT FUN LEARNING THIS COURSE

автор: Prem Sangam Mishra

•Nov 01, 2018

It's a really great course for learning the fundamentals of statistics in detail.

автор: Arman Badiei Khorsand

•Oct 31, 2018

Great course for beginners or those like myself who just wanted a quick revision over the material before going on to the more advanced stuff. You get a very good start with R which is a very valuable software to learn both for academia and industry.

Coursera делает лучшее в мире образование доступным каждому, предлагая онлайн-курсы от ведущих университетов и организаций.