Вернуться к Basic Statistics

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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....

PG

20 апр. 2016 г.

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.

DA

28 янв. 2021 г.

great course with good videos and examples. Very good course for learning the basic statistics. Unfortunately the week 3 is the most misunderstanding module, nevertheless very good and understanding

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автор: Roman P

•30 июня 2017 г.

The course is good and will suite the most. I had some previous experiences with statistics (almost forgotten) and this course was a good way to remember the old stuff and take something new.

Material is clearly organized and the teachers did a nice job.

The only thing is that several times I had a feeling that the material in the course is not completely consistent with tasks in R, plus a couple of confusions in the course itself. However, possible to solve yourself if you listen carefully and enjoy your learning.

автор: Eugenia N

•5 авг. 2020 г.

It was my first experience with statistics, so some parts were not easy, especially when it came to probabilities, to understand material I needed to look for explanation in the net, course materials, unfortunately, were not enough. Still, this course is great, tests are good opportunity to exercise theoretical concepts and you can try until you get desired result. R labs were a real challenge at first, since I didn't have any programming experience, but now I can say proudly that I can do something in R :)

автор: Emily J

•27 мар. 2021 г.

Professor Roodijun explanations and R-labs were much more than those from the other professor, but the lack of practice problems in all of the lessons was a real drawback. Even if the practice set was ungraded and optional, they would be highly beneficial to help internalize the concepts. At present, the only chance to practice is on the graded quizzes at the end of the lessons, and those quizzes cover the entire lesson, not the individual skills we are learning along the way.

автор: Elpida S

•25 июня 2018 г.

Very demanding Course Well- organised material Brialliant theory, very helpful for everyone learner. Variety of examples in order to learn better the theoryDemanding also assigments and quiz,You need so many hours of studying in order to complete it successfully escpecially if you are not familiar and experienced with Statistics and mathematics. But of course i will reccomend in everyone who want to gain knowledge to this domain. Well done to all! Thank you about this basis.

автор: Jonah I

•23 янв. 2018 г.

Certain lecture videos, especially those of Professor Van Loon, can be confusing and unclear (though I'm not saying it's his fault necessarily), and there are certain errors throughout, but overall this course is relatively engaging and effective at giving you the basics of Stat. As someone with almost no prior knowledge and a terrible historic ability at math, I passed easily by watching the lectures, taking detailed notes, and spending time with the labs.

автор: Jennifer B

•8 янв. 2021 г.

I was so excited about this course and really feel like it was well worth my time and effort. I have to say though that the labs in DataCamp didn't line up so well with the weekly assignments. Learning r while also learning statistical theory and formulas is difficult to keep things straight (for some of us anyway). I am very glad to have the intro to r, but I think it could be structured differently. Also, please include more exercises to work through!

автор: Bob H

•23 авг. 2017 г.

The videos were interesting and well-presented. I do not have a background in statistics, so the pace of formulas and calculations was tough. I'm not sure if there is a place where remedial folks like me can get a slower pace of basic stats and the maths involved. Having that foundation would have made this more understandable for me. The R-lab was interesting, but I quickly got lost & learned a lot from all of my wrong answer lol.

автор: Gustavo H P T

•20 мар. 2017 г.

I had a really great time with this course. A lot of work went into it, from the presentation to the content. Really well done. It was quite challenging. I felt that the last module (7) introduced some very difficult concepts which, even after checking other sources, I couldn't understand fully. Some questions from the exam in that module were substantially different from the ones in the lectures. I would give 4.5 stars if I could.

автор: Charlotte

•19 дек. 2016 г.

I liked the content of the course very much; the videos were all very clear, with nice examples & visualisations of those examples. However, the R labs included in this course were not very challenging; by following a list of steps you can complete them easily without learning much from them. Additionally, the R labs sometimes would not accept an answer as correct when it was a slightly different solution to the same problem.

автор: Roberto Z

•22 июля 2017 г.

This is a good course for the videos (some mistakes there, beware) and material provided, but it is just ok as the quality of the tests. Sometime just felt like a monkey typing again the same ops over and over. The R lab is sometimes really frustrating as questions are not clear enough. I feel a good table of Z and T scores for the most used confidence and significance levels would be a good addition to the course material.

автор: Addler M

•9 мая 2017 г.

Lectures and quizzes were great. The main part of the course was fun and informative.

Labs were awful. They did not teach or incorporate R well, they were inconsistent with the way answers should be provided, and instructions were very often unclear or missing information so that the answers could not be obtained without hitting solution or googling r things that had not been brought up before.

автор: Kyle P R

•5 дек. 2019 г.

Overall a very good course; excellent, easy to understand explanations and engaging instruction. However, there are a couple of places where the course needs a correction, and I am deducting a star because it has been up for literally YEARS, and no corrections have ever been made. If they would actually correct the few course errors, it would be an absolutely perfect course. Cheers!

автор: Jenna H

•8 мая 2018 г.

Perfect for gaining a general/ beginner knowledge, but still in-depth and good quality. As a complete novice with no natural flare for maths it did take me a lot longer than the predicted times, and I did feel like you had to research further or work around what was given, in order to answer some questions in the exams. Overall, really helpful to get the basics of statistics!

автор: Kiarash B

•14 февр. 2021 г.

Thanks for preparing this course. All materials can be useful for anyone who wants to do statistical analysis in any fields of expertise. However, I think focusing more on practical statistics can be an insightful idea for teaching statistics since it would make more sense for all students to use these concepts and knowledge to solve scientific problems.

автор: Durbar S

•21 окт. 2018 г.

covers a lot of topics in a very simple manner. liked the examples taken in the course and how the important points in hypothesis testing are stressed.

the course can be improved by maybe making it a little bit more mathematical.. giving some proofs(which if the course coordinator thinks can be done in the time limits) to the formulas used in the course.

автор: Mohammad U S S

•26 февр. 2018 г.

I really like the way they teach. Being a newbie to Statistics, I feel this is the right course I have chosen to start my journey of statistics. The mentors teach in a way which is easy to understand. I did not give it a full 5 star due to the inactive discussion forum. I think this would be a nice place to talk more about statistics. Cheers !

автор: Paolo M P B

•24 июля 2020 г.

This course explained the basic concepts of statistics quite well though the course was pretty challenging. Weeks 3 onward really discouraged me and I had to put if off at times. The R assignments were helpful but I don't quite see it's weight here. Overall, this course would be good for those interested in learning the basics of statistics.

автор: Bening M

•20 апр. 2020 г.

I enjoyed it and I found it useful. I started this course because I wanted to learn how to use R and it turned out that I learned a lot as well on the theoretical level. Examples made things easier to grasp. One thing, I felt that some terminology was not clearly explained and there were times that I was just confused like, 'What's that?'

автор: iina

•13 сент. 2020 г.

Overall, an interesting, feet-on-the-ground kind of course I can warmly recommend as a first step into statistics.

Rating of "only" 4/5 since there were some confusing mistakes in the lecture videos + not all of the quiz question calculations were practised beforehand during the lectures (=I was tested on skills I hadn't practised).

автор: Juhong P

•22 апр. 2018 г.

I don't have any background of statistics. To me, it is really helpful to understand the basic. Some part of lecture is little bit difficult to understand and i think it needs more time for self study to catch up all the lectures and practice. My most favorite part of the course is that I was able to practice basic R programing.

автор: Liam M

•13 июня 2018 г.

Very engaging and a good level of difficulty. However, the lessons from Emiel were hard to follow because the pace was slow and his voice was soothing me to sleep! Also it would have helped so much to have the exam answers explained at the end once completed because I have no idea where I went wrong on some of the questions!

автор: Gabriela C

•4 мар. 2016 г.

El curso es muy buena calidad académica los temas son fáciles de comprender sin embargo también debió haber vídeos sobre la programación con R para poder tener un poco mas claro estos ejercicios, ademas no debieron cambiar de profesor, ya el el maestro que imparcial los temas intermedios lo hacia de una manera muy compleja.

автор: Dhushyanth L

•5 дек. 2016 г.

The course is quite informative and educative for a non-statistical person like me. The instructors were explaining complex concepts in a very simpler manner. Except that the use of data camp for R could have been replaced with the exercises done on R (offline) and submitted through the quiz. The quizzes were really good.

автор: Kyoko Y

•15 янв. 2020 г.

The explanations in the videos were easy to understand and concise.

I think it would be beneficial to add more in-depth descriptions of the answers you got correct on the quizzes. I might've gotten something correct by 1) doing it right or 2) guessing, and it would be a learning opportunity for those who simply got lucky.

автор: Barbara V

•29 февр. 2016 г.

Overall, a great course that provides the basics of statistics in a thorough and intuitive way, plus a taste and feel of the software R. Of special note are the amazing visualizations in the presentations! There are some typoes and errors in the course material though, which is a shame, as everything else is excellent.

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