Volver a Basic Statistics

4.7

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2,523 calificaciones

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645 revisiones

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.

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por Marta B

•Jul 06, 2019

The lectures (videos) are very clear and helpful but the R program is not useful. The most popular program to calculate statistics is SPSS or Excel. The R program is still not clear for me and I will not use it. I feel like I lost many hours trying to learn it. It would be much better if you use Excel because everyone has Office and is more or less familiar with this software. If I use R then I won't be sure if my calculations are correct. Anyway, the course explains basics of the statistics very well and now I can proceed with my research.

por Curt E

•Mar 14, 2017

The course has fun illustrations and a high quality of production, but the lessons themselves don't dive very deep. Ideas are introduced but not considered in depth. One such example is variance. We get the equations but not much insight into what it is a measure of and it's value. Additionally, and this might just be me, but the experiments used to illustrate examples at times are difficult to understand.

por N_ens

•Sep 07, 2017

The first two weeks of this course are really good. I enjoy the format (switching between manual math equations and performing tasks in R). However after week three the course becomes hard to follow as the material feels too condensed and the instructor is not quite as clear. I would recommend taking some basics in Khan Academy before trying to attempt the full of this course.

por Christelle C

•Apr 06, 2017

I am new to statistics and found most of the lessons difficult to understand, although I did pass the course and had taken the first two courses of the specialization before. More exercises would help. Also I do not plan on using R in the future so this part of the course was not very relevant to me, but it was not the hardest.

por Gabriel O M

•Sep 10, 2018

Some lectures were very good but others were extremely bad. Especially those given by the second professor were very confusing and not very well planned. One video even finished in the middle of a sentence. The exercises in R were also sometimes very badly designed. It was frustrating to try and finish them.

por Kamal T

•Mar 03, 2016

The cartoons and animations used in this course really make statistics a lot easier and interesting. However few modules especially the later part of probability do not explain the concepts thoroughly. However, this is a great place to start!

Also, the addition of R exercises are a great idea

por Nikita F

•Sep 13, 2017

Unfortunately I didn't like this course – the basic things are explained in great details (which is not always necessary), but more complicated terms are not covered in the way they should.

por SRINIVAS R

•Apr 02, 2016

some of the videos were outstanding and easy to understand. Need more handholding for understanding of concepts and review/explanation of the quiz results will reinforce learning further.

por Eunice H

•Jan 04, 2020

I was expecting to learn basic statistic before diving into the programming. I did not take this class to get familiar with R programming. And it slow me down.

por Christina P

•Oct 26, 2017

It was a really nice and informative course. As a statistics rookie, I can say with confidence that I now know the basics of Statistics! Thank you very much!

por Bhupesh P

•Mar 03, 2017

Course material is not enough, you need to also refer at least one reference book as well.

por Yutian L

•May 16, 2017

if we can have a review before the final exam will help a lot. and the r lab is so hard.

por Pankaj M

•Nov 25, 2016

2 Stars less because they should have included R video tutorials

por Sujoy S

•Jun 02, 2019

Very tuff quiz questions

por Rasmus B

•Jun 29, 2019

quite hard

por Courtney v S

•Nov 10, 2016

Not very helpful. In the homework I spent more time wrestling with commands in R than actually gaining an understanding of the subject matter.

Also, I really didn't need so many subject matter examples about the professor's baby's pooping habits. (And my family is Dutch with all the offensive humor that comes with it, so it's not just a matter of the sense of humor not translating)

I'm re-taking Statistics with Calculus online at my local state university and frankly, I can't notice any benefit from taking this course first. My current online Statistics with Calculus course is rewarding and I feel like I'm truly gaining mastery of the topics, whereas in the Basic Statistics course I was floundering.

The graphics in the way the lessons are presented are well done! But I would have been just fine with fewer graphics if it meant more worked-through examples.

por Dafna M

•Dec 06, 2019

Most of the courses didn't feel like basic statistics, they were very hard, plus a lot of the presentations were difficult to understand. I felt that there is a significant disparity between the two lecturers; the way they present the learnt materials is very different. In several times i had a gap and had to look for more information online. This is called "basic statistics" and it felt like i was supposed to start the course with a previous knowledge which i didn't have.

por Anthony

•Dec 15, 2019

This course is more about learning R-programming which is totally useless for me. The videos are nice. Try instead buying the book and do the excercises with python or excel.

por Andrea F

•Dec 29, 2016

I've only gotten started, but there seems some assumptions made about how much we know and how quickly we can pick up these new terms and ideas.

por Clement

•Feb 25, 2019

The program is good. The videos not so much. The professors are speaking pretty fast. It would have been good to have some written material.

por yazhini c

•Aug 16, 2016

R labs are too tedious for people with medical or science background! we need explanations rather than trying to figure it out on our own!

por Ivan C

•Jan 07, 2016

Damn R-Lab

por Richard N B A

•Feb 09, 2016

Puerile, made up examples with made up data, no deeper treatment of the mathematics involved than the here-is-a-magic-formula-use-it approach and mistakes (including serious conceptual and factual errors) evident in the quizzes and the R labs. Far better to look out for the "Data Analysis and Statistical Inference" course by Duke on Coursera that is presented by a passionate statistics teacher, covers the same material (and more) and provides a far better introduction to R than this course.

One of the stated purposes of this specialization is to clean up the way social scientists conduct science and are perceived as scientists; in this respect, it appears that the worst enemies of social scientists are social scientists.

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