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Volver a estadística básica

Opiniones y comentarios de aprendices correspondientes a estadística básica por parte de Universidad de Ámsterdam

4,263 calificaciones

Acerca del Curso

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....

Principales reseñas


20 de abr. de 2016

This is a nice course...thanks for providing such a great content from University of Amserdam.

Please allow us to complete the course as I have to wait till the session starts for week 2 lessions.


27 de jun. de 2022

Instructors have provided concise explanations of the concepts. There are many examples considered that make statistics easier to understand! Also, the illustrations are fancy. I enjoyed every video!

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101 - 125 de 1,047 revisiones para estadística básica

por piaoyang

15 de jul. de 2020

A very interesting class, the examples are vivid and easy to understand, and the teacher is also very interesting. Sure enough, teachers without acting are not good teachers.

It is a pity that just like the course name, it is just basic statistics. If you want to study statistics in-depth, you need to study other courses.

por Tuan Q N

5 de ene. de 2021

At some points, things got a little bit confusing, but you just have to rewatch and slowly break things apart. Occasionally, I also had to look stuff up on youtube to get a better understanding but for the most part, the course will give you a very good understanding of basic statistics. Completely doable within a week

por KP

1 de jul. de 2019

I would like to thank you all professors and those who participates in creating this amazing course. It helped me a lot in building basic knowledge about statistics. The course is very well structured with clear & easy-to-understand content. I highly recommend this course for those who starts learning statistics.

por xavier C

7 de ene. de 2017

This course is very well prepared, thanks to the video and the commitments of the 2 teachers,

There is also a good balance between Theory and Practice (usage of R).

I do already use the learning of this course in my daily job (data & analytics)

Good job and thank you to the entire team who has prepared this course.

por Liisa P

1 de may. de 2020

Great introduction to statistics! The course moves at a steady pace with good quality video lectures. Every week is concluded with a quiz on the content that challenges you to use what you have learned. Additional bonus is the exercises in R, which give you an introduction to using it in statistical analysis.

por Lai K C

11 de feb. de 2016

Both of the lecturers as well as the staff are excellent in making the learning simple, exciting and interesting. I have learned so much about statistics in so short a time with effectiveness and efficiency. Thanks for the excellent work. And all of you have made University of Amsterdam proud and stand tall.

por Gregorio A A P

7 de jul. de 2017

Un super curso , excelente y felicitaciones por vuestro gran trabajo, pero es muy triste no poder disfrutar al 100% un curso de esta calidad traducido en el idioma español, les pido por favor si fueran tan gentiles de acceder a esta humilde petición, gracias por anticipado y nuevamente felicitaciones.

por Alireza N

5 de ene. de 2016

I found this course very helpful and understandable ...The slides are very beautiful designed ..I had never learnt Statistics in this way! The examples are related to our daily life! It makes everything easier to learn... Thank you very much all who works on this course from University of Amsterdam

por Daniela A B M

8 de ene. de 2018

I hadn't studied Statistics for over 22 years, and I am very grateful that I did it through this course. While I had to spend more time than I had anticipated going over the materials (due to my lack of practice), I did found the lectures and materials were well prepared and didactic. Thank you!!

por Christos M

12 de nov. de 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.

por Karan A

1 de ago. de 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.

por Sai O M

25 de oct. de 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.

por An N

27 de mar. de 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.

por Gautam H

23 de jul. de 2020

I have found this course extremely useful and vital because I have been currently involved with teaching the same topics that have been covered in this course.

I am really thankful to the lecturers and for their engaging methodology they adopted for teaching and learning process

por Isaac K Q

22 de jun. de 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.

por Susana R C

30 de abr. de 2020

Me ha gustado mucho que el curso combine la teoría con la aplicación de la misma en R. Si estas interesado en aprender a usar R es muy buena forma de comenzar porque aprendes desde un nivel muy básico para ir comprendiendo sin problema cómo funciona el lenguaje del programa.

por cen c

2 de abr. de 2020

I would highly recommend this course to those who would like to gain the basic ideas about statistics. The course is well-structured and explained in a clear and logic way. Not only in statistics, it also provides many trainning in R language. I find this course very useful.

por Shekhar T

9 de feb. de 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!

por Richard B L J

9 de oct. de 2022

Good course. Covers the basics without being oversimplified, and rigorous enough to build a foundation for inferential statistics.

More pen-and-paper exercises or resources where to find them would be helpful, i think, for anyone looking to join the course in the future.

por Jeevan H

15 de jul. de 2020

If you are looking to learn basic statistics without prior knowledge about statistics this is the best course to start with. thank you for this wonderful course and also thanks to the instructors who made the course very intrusting and also lab assignment was very useful.

por Peter J M P

6 de ene. de 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

por Sunil R K

10 de jun. de 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.

por Khaliqur R A

2 de jun. de 2020

Very informative and effective course to enhance your statistical skills. I am really thankful to COURSERA and University of Amsterdam for providing such an opportunity to me, to improve my statistical skills and also to learn some basics of R programming. Thanks a lot

por ERIK S

1 de feb. de 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.

por Tayseer A A A

20 de dic. de 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.