学生对 约翰霍普金斯大学 提供的 统计推断 的评价和反馈

4.2
4,218 个评分
853 条评论

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....

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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 .

MI
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!

801 - 统计推断 的 820 个评论（共 820 个）

May 7, 2017

No proper meaningful explanation for the logic derived, especially in Probability, the core of stats.

Feb 13, 2017

Not explained well, had to take another statistical inference course. Not worth the money.

Oct 5, 2016

The instructor is about as convoluted as you can possibly get with his explanations.

Aug 22, 2016

The slides are very difficult to follow. It could be better designed

Feb 3, 2021

At last no proper instruction given about how to complete the task.

Jul 24, 2017

poor course material / slides makes it hard to follow...

Jun 13, 2017

Too theoretical. Could not see practical applications.

Feb 28, 2019

super boring instruction, instructor is like a robot!

Jun 27, 2016

To be honest I don't think this is worth the money.

Feb 21, 2019

Too vague in explanation and building a story

Aug 9, 2016

Very difficult to understand and follow

Aug 30, 2016

worst course of the specialization.

Feb 21, 2017

Important material, poorly taught.

Jan 29, 2019

no clarity in the explaination

Jan 26, 2016

Cant understand whats going on

Jun 29, 2019

The worst teacher ever!

Aug 5, 2016

Too much covered.

Jul 14, 2018