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....

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.

필터링 기준:

교육 기관: Christos M

•Nov 12, 2017

The title fits precisely the content.

Very easy to follow, with nicely illustrated videos.

Definitely on the simplistic side, but intentionally so.

Assignments are in R and are run on the DataCamp platform.

The quality of assignments in DataCamp is generally not one par with the rest of the content.

교육 기관: Karan A

•Aug 01, 2019

Great explanations by instructors through real world examples. The course provides ample opportunities to step back and evaluate your understanding. Practice in R through data camp practice sessions and quizzes. A nice place to start with if you are looking to learn the basics of statistics.

교육 기관: Sai S

•Oct 25, 2016

Thank you very much for your insightful explanation on statistics. I am much more of a picture person and the approach of this course has a very huge impact on my job and study. I hope you will have this kind of new courses in the future. I am willing to follow your courses in the future.

교육 기관: AN N

•Mar 27, 2019

As the statistics beginner, I love this course. The lectures attract me by its easy-to-understand examples and its visualization. The course includes the R Statistics section from the third party - Data Camp, which I found really useful. I highly recommend participating in the R Lab.

교육 기관: Isaac K Q

•Jun 22, 2016

I was always scared of Statistics but after going through this training, Statistics has been made simple and I am enjoying it. I have decided to pursue more Statistics training from the University of Amsterdam on Coursera. I enjoyed the training of those great faculty members.

교육 기관: Shekhar T

•Feb 10, 2016

Good course for someone with background of statistics. The instructors are lucid but cover a lot in 7 weeks, they delve into intuitive insights of statistics. It is advisable to keep a textbook handy while undergoing this course. In the end good job University of Amsterdam!

교육 기관: Peter J M P

•Jan 07, 2020

Very nice course. I loved it because it helped me to understand the concept easely. The only min poin for me that is has no slides. Reading the transcript is not very easy if you want to find something.

the exercise with R was also a good surprise !

I recommend this course

교육 기관: Sunil R K

•Jun 10, 2017

Very good course! I especially found the lab exercises very helpful to reinforce the concepts taught in the video lectures via R programming. Thank you very much for the team of Basis Statistic of University of Amsterdam and the Coursera to offer such a wonderful course.

교육 기관: ERIK S

•Feb 01, 2016

Now working on week 5 of this course. First four weeks were VERY well taught. Clear examples AND above all the datacamp R tutorials make it more than worth your while.

This course rises FAR above the many Coursera MOOC's that i took. It is very complete and do-able.

교육 기관: Tayseer A A A

•Dec 20, 2017

Great lectures, great examples. I struggled with this course at my university and felt that I didn't understand most of it at times. Thanks to the lecturers from Amsterdam University things felt much more simple and I feel I have learned a lot from this course.

교육 기관: Nguyen T H

•Nov 27, 2017

Such a good course! Very easy to understand (although I have to say I didn't well understand a few parts and needed to review them again and again :-))). The professors presented in a way that was simple enough for beginners. Sincere thanks to the Professors!

교육 기관: Pito S

•Aug 13, 2016

I am almost done with this course and I want to recommend it very highly. I came to this with a lapsed and sporadic understanding of probability and statistics. I followed all the lectures, did all the tests and homeworks and feel like I have learned a lot.

교육 기관: Jordan F

•Mar 01, 2018

Wonderful course! Content is well organized and conveyed such that they address all of the 'basics' about each section of statistics that are covered. Easily one of the best, self-guided courses I've taken. Will definitely keep this course as a resource.

교육 기관: M. M

•Jan 14, 2017

Whenever I read and try to understanding about statistic, I feel it's very difficult and confusing. But with the simple method of this video to teach me about statistic, now I feel that my love parameter about statistic is increased. Thank you very much.

교육 기관: amy G

•Apr 11, 2016

The instructors are awesome to convey the concepts using examples. They actually made learning statistics to be fun which is unexpected and unseen elsewhere (e.g. Universities, other stats courses). I have been enjoying myself in learning. Thank you!

교육 기관: Arman B K

•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.

교육 기관: Claude C

•Mar 06, 2016

Very good introductory course to statistics and probability. This course is both entertaining and rigorous. I recommend this course without any hesitation to beginners and people who want to refresh their knowledge and skills in basic statistics.

교육 기관: shengxun y

•Jul 17, 2019

The lecturers explain basic statistics concepts very clearly, and very interestingly. The Datacamp quizes are very helpful for me to further understand the concepts, methods etc and give me some hands-on on using R to solve statistics problems.

교육 기관: Özge Ç

•Jan 19, 2017

I've first time attended an online course. Basic statistic is great for specialization both students and employers. Syllabus of lessons become simple to complex, so it get easier learning. 1st week of the course about to finish. Thanks for all.

교육 기관: Tomasz H

•Dec 29, 2016

Very clear, very good visuals, easy to follow. Highly recommended. I only wished the DataCamp examples were in Python, not R, but I understand R is a more natural choice for non-programmers. The lab and the presented theory are well synced.

교육 기관: Aaron B

•Aug 18, 2016

A very engaging approach to online teaching, that is very effective at keeping you from zoning out while staring at boring slides of text with someone speaking over top of it. I wish more online learning courses would follow this example.

교육 기관: Saurabh G

•Aug 28, 2019

This is one of the best designed MOOC. The kind of effort that has gone into making this and taking care of the its usability is just commendable. This will go a long way in influencing me to see University of Amsterdam as my new home.

교육 기관: Antonio V

•Mar 11, 2016

Warm congratulations to the Team for putting together a statistics course that will not scare 90% of the course participants from day one. Well paced, well explained, nice humorous cases and step-by-step explanations. WELL DONE

교육 기관: Zoltan T

•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.

교육 기관: Ute T

•Mar 13, 2019

Very well explained and timed in a good flow. All important infos are there. The handouts are correct, and the videos correspond with audio/handouts. It is very nice that the quizz has hints for those answers that were wrong.