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学生对 约翰霍普金斯大学 提供的 统计推断 的评价和反馈

4,284 个评分
864 条评论


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....


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 .

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!


826 - 统计推断 的 833 个评论(共 833 个)

创建者 Eric T

Feb 21, 2017

Important material, poorly taught.

创建者 Katakam S T

Jan 29, 2019

no clarity in the explaination

创建者 Pramod N

Jan 26, 2016

Cant understand whats going on

创建者 Mukarram M

Jun 29, 2019

The worst teacher ever!

创建者 Johannes H

Aug 5, 2016

Too much covered.

创建者 Paul D

Jul 14, 2018

bad lectures.

创建者 Mekin L

Feb 23, 2018

huay mak mak

创建者 Milad A

Nov 9, 2020

i dont like