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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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4,049 calificaciones
804 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

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 .

MI

Sep 25, 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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176 - 200 de 772 revisiones para Inferencia estadística

por Elmer P

Aug 19, 2018

Solid on statistics, which I think is very relevant in Data Science and Research.

por Maliheh S

Sep 17, 2017

The best course I've taken in Data Science Specialization.

Thanks Professor Caffo!

por Rodrigo P

Apr 27, 2017

Statistics is not easy, but it is very powerful to understand real data problems.

por Rok B

Jun 10, 2019

Great course! Gives a really nice and comprehensive overview of basic statistics

por Long T

Sep 10, 2017

Very nice and descent. The homework is especially interesting and well designed.

por danxu

May 22, 2016

Very useful !

Teacher is awesome, statement is clear and simple.

love this course!

por Bruno R S

Apr 20, 2019

this course is excellent as it is hard if do not have a good base on statistics

por Vinicio D S

Dec 22, 2017

Great course for getting an introduction into the Stats needed for Data Science

por Léa F

Nov 10, 2017

Thank you Brian !!! I learned a lot of things in a very short amount of time :)

por Peter G

Feb 04, 2016

Definitely the best and most useful course of the Data Science Specialization!

por VICTOR G C

Jun 04, 2020

It gives the idea and the tools that everybody needs to develop data science.

por Offiong E

Jun 28, 2017

very fast paced course. i totally enjoyed digging deep into my inner reserve.

por Carolina G G

Sep 23, 2019

Muy organizado, con temarios interesantes y mucha claridad en los contenidos

por Ruddy U

Jun 14, 2016

It was very interesting, descriptive and joyful. I really loved this course.

por pravin

Jul 03, 2017

Very valuable overview for all statistical analysis used in future courses.

por Marcelo A P

Aug 17, 2016

Need to improve the clarity of the lectures, but it´s a good course though.

por ONG P S

Feb 16, 2020

Very good course. A lot of examples helping me understanding the theories.

por SATHYANARAYANAN S

Sep 11, 2017

Very good for anyone wanting to get into the field of Data Science using R

por Sukanya S

Apr 06, 2018

This is the most difficult course so far as I am not a statistics student

por Illich M

Jun 16, 2017

This is a tough course! I had to take it multiple times to understand it.

por Jorge B S

Jun 03, 2019

Very nice introductory course to statistical inference concepts using R.

por Sanjeev K

Apr 02, 2018

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

por Huey Y T

Mar 21, 2017

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

por Bopeng Z

Jun 08, 2017

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

por Simeon E

Feb 20, 2017

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