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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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3,654 calificaciones
716 revisiones

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 revisiones

JA

Oct 26, 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 .

AP

Mar 22, 2017

The strategy for model selection in multivariate environment should have been explained with an example. This will make the model selection process, interaction and its interpretation more clear.

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176 - 200 de 684 revisiones para Inferencia estadística

por Wojciech O

Jan 12, 2016

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

por Michael O D

Nov 19, 2019

Excellent and stimulating course, swirl tutorials very effective.

por Owais M

Nov 15, 2017

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

por Christian B

Mar 11, 2017

Content is very good overall. Presentation could be more engaging

por THI A A

Jul 25, 2019

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

por Arushi A

Dec 05, 2017

Amazing course content and assignments for practical application

por Larry G

Feb 07, 2017

This course should be in 3-4 courses.

Maybe a full specialization

por Siria S A

Aug 23, 2018

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

por German R M S

Dec 03, 2017

Excellent material, instructors and practical exercices.

Thanks,

por Sergio M

Apr 23, 2018

Amazing course, great to understand basic statistical analysis

por xun y

Dec 25, 2017

Great course that covers the basics of statistical inference.

por Leandro

Jul 15, 2017

This is exactly the course I was looking for. Great job guys!

por Alok K

Apr 30, 2016

Swirl is recommended for a better understanding of the course

por Praveen k

Nov 11, 2018

Good course to know the math behind inferential techniques !

por Fouad S

Jun 01, 2017

the course is good. its hard if you don't know statistics .

por Ekaterina S

May 01, 2019

It was quite hard for me, but very usefull and motivating.

por Georgios P

Nov 17, 2017

Quick and complete introduction to inferential statistics.

por BOUZENNOUNE Z E

Aug 25, 2019

A great course. Needs a great follow-up from the student.

por Giovanni M C V

Feb 16, 2016

Excellent course with great didactic. Congratulations!

por Veronica F V M

Oct 02, 2017

Very Good and the swirl practices are very helpfull!!

por Carlos M B B

May 09, 2017

Very ilustrative and full of practical applications.

por Sankepalli S K

Oct 11, 2016

Excellent course to know the basics of data science

por Rob S

Feb 17, 2020

Very good theoretical basics for working with data

por Edith

Jun 23, 2016

Great course! I learnt a lot! And it even was fun.

por Ethan S

Nov 07, 2019

Thanks for strengthening my statistical R skills.