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学生对 Johns Hopkins University 提供的 Statistical Inference 的评价和反馈

4.2
4,449 个评分

课程概述

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....

热门审阅

JA

Oct 25, 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 .

RI

Sep 24, 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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551 - Statistical Inference 的 575 个评论(共 874 个)

创建者 Luong M Q

Jul 27, 2017

It was hard to get into the idea of some statistics aspects, but it is helpful in general

创建者 Frank I

Aug 29, 2017

A very good statistcal background course, taught in a very accesible but thourough way.

创建者 Melanie B

Apr 2, 2018

Access to the keys to the quiz was helpful for correcting mistakes and misconceptions.

创建者 BIBHUTI B P

Jul 24, 2017

ok. It was really an ample amount of knowledge domain which I inculcated from this mod

创建者 Marco L

Dec 16, 2020

Good introductory course to the field of statistics. Could be better, could be worse.

创建者 Zoran K

Apr 20, 2017

Statistics was relatively new to me, so it was a steep learning; Overall I liked it.

创建者 Paul M

Dec 30, 2016

Great Course. Material much more challenging than courses in the program to date.

创建者 Sandhya A

May 23, 2018

I learned a lot, but found it relatively difficult as compared to other courses

创建者 Francisco G A

Jun 26, 2016

good curse, but it's hard by short time to study all lessons and practice it.

创建者 Sherifat A

Sep 12, 2018

Took a lot of time and re watching the videos but the knowledge was worth it

创建者 Artem V

Dec 15, 2016

It's not the math that is hard, it's the phrasing, vocabulary and semantics.

创建者 SHUBHAM G

Dec 16, 2016

Very informative lecture and Brian explained concepts pretty well. Thanks..

创建者 Falko K C

Aug 7, 2016

Great course, could use some review though. Still give it a big thumbs up!

创建者 Frank O

Jul 11, 2021

with the formulas I had problems, I should have been more careful in math

创建者 xuanru s

Nov 28, 2016

GOOD KNOWLEDGE OF USING STATISTIC TEST IN R. HOPE TO ADD MORE MATERIAL

创建者 ALEJANDRO P

Aug 22, 2020

Very nice course that reviews the basics of the statistical inference

创建者 Meredith C H

Aug 26, 2018

Taught a lot of useful skills, but lectures were often hard to follow

创建者 Rohit D

Mar 21, 2017

Nice course, but need more detailed one for those new to statistics.

创建者 Jack F

Mar 28, 2020

Very thorough in covering not only theory, but application as well.

创建者 Gabriel G

Apr 17, 2019

Very good course, but requires a basic understanding of statistics.

创建者 antonio q

Mar 8, 2018

very well done, thanks a lot for everything, I did learn a lot,

创建者 Deleted A

Nov 13, 2016

a basic course of inference but i think perfecto for this mooc

创建者 Richard D

Jul 14, 2017

Fantastic, but quite a lot of material packed into 4 weeks.

创建者 Manojkumar P

Oct 24, 2016

It is nice course!

Amazingly challenging, thought provoking.

创建者 Dan B

Sep 10, 2018

The content is good, but the teaching is a little tedious