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Opiniones y comentarios de aprendices correspondientes a Inferencia estadística por parte de Universidad Johns Hopkins

4.2
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4,341 calificaciones
878 reseña

Acerca del Curso

Statistical inference is the process of drawing conclusions about populations or scientific truths from data. There are many modes of performing inference including statistical modeling, data oriented strategies and explicit use of designs and randomization in analyses. Furthermore, there are broad theories (frequentists, Bayesian, likelihood, design based, …) and numerous complexities (missing data, observed and unobserved confounding, biases) for performing inference. A practitioner can often be left in a debilitating maze of techniques, philosophies and nuance. This course presents the fundamentals of inference in a practical approach for getting things done. After taking this course, students will understand the broad directions of statistical inference and use this information for making informed choices in analyzing data....

Principales reseñas

JA

25 de oct. de 2018

Course is compressed with lots of statistical concepts. Which is very good as most must know concepts are imparted. Lots of extra reading is required to gain all insights. Very good motivating start .

MI

24 de sep. de 2020

the teachers were awesome in this course. I liked this course a lot.Understood it properly.Thanks to all the beloved teachers and mentors who toiled hard to make these course easy to handle.Gracious!

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226 - 250 de 846 revisiones para Inferencia estadística

por Sanjeev R

2 de abr. de 2018

A great course for the beginner who are new to the field of Data Science

por Huey Y T

21 de mar. de 2017

I enjoyed the lectures. The lecturer was very clear on the explanations.

por Bopeng Z

8 de jun. de 2017

Very useful and thorough review of statistics. Invaluable in practice.

por Simeon E

20 de feb. de 2017

Not so easy, but extremely interesting. Highly recommended to anyone.

por Sebastian R

19 de sep. de 2017

Great intro to statistical inference. Also, the materials are awesome

por Raunak S

1 de nov. de 2018

nice course before digging deeper into Data Science advanced topics.

por Karthik R

7 de ago. de 2017

Good Course, but I think you need to have some Statistics background

por Diego N

26 de mar. de 2017

Excellent course to get up to speed on important statistics concepts

por sujatabosesinha

7 de mar. de 2017

Good course. Quite thorough. Nice blend of R programming and theory.

por Bojan B

14 de oct. de 2018

Great course with great materials. Easy to understand and to learn.

por Maxim K

2 de feb. de 2016

I like lesson, teacher on video don't quickly and easily explained.

por Sally L

13 de dic. de 2016

Very Informative. Have to devote quite a bit of time to it though.

por Ewa W

3 de nov. de 2016

Great course, very challenging . Well presented , great material .

por Daniel B

15 de mar. de 2016

This course gives a really good overview in statistical Inference.

por Wojciech O

12 de ene. de 2016

Very good reminder of mathematical statics which I had on studies.

por Xiaofeng H

30 de oct. de 2021

I​t's not easy to understand initially. Swirl is very beneficial.

por Michael O D

19 de nov. de 2019

Excellent and stimulating course, swirl tutorials very effective.

por Owais M

15 de nov. de 2017

Nice course! focussing mostly on hypothesis testing and p-values.

por Christian B

11 de mar. de 2017

Content is very good overall. Presentation could be more engaging

por Umang T

8 de sep. de 2020

Course is very good and very productive knowledge provided in it

por THI A A

31 de jul. de 2020

This course refresh my memory for statistic and prepare me for M

por Arushi A

5 de dic. de 2017

Amazing course content and assignments for practical application

por Larry G

7 de feb. de 2017

This course should be in 3-4 courses.

Maybe a full specialization

por Luis A M C D

3 de oct. de 2020

Excellent Course, fine instructor, good material, everything...

por Siria S

23 de ago. de 2018

I am very very happy for complete this course I learned a lot!!