# 学生对 约翰霍普金斯大学 提供的 统计推断 的评价和反馈

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4,051 个评分
804 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....

## 热门审阅

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.

## 151 - 统计推断 的 175 个评论（共 772 个）

Dec 05, 2017

nice course.

it provides a formal explanation of statistical inference and its practical application.

Oct 09, 2017

Perhaps the best course and I learned most in volume about statistics from one single course. Great.

Jan 03, 2020

An excellent course that teaches the important theoretical abilities and limitations of statistics.

Jan 25, 2017

This course is clear and well structured, it is great that the author has created a companion book.

Jul 07, 2017

This course is for beginners for statistical inference using R. Very well presented.

Thank you guys

May 07, 2018

The course is interesting and well-organized. I like it and hope to further my study on coursera.

Oct 15, 2018

it is very helpful for me to solve the statistical problems by applications

Thank you COURSERA

May 05, 2020

Great Course! Totally Rewarding. I find it really difficult, but in the end it is rewarding.

Mar 19, 2020

The content was very well structured and the learning will suit all (lecture and practicals)

Dec 11, 2017

For people who like mathematics, this is definetelly one of the course who provide most fun!

Oct 27, 2017

The course has covered many statistical concepts which helps me in advancement of my career.

Feb 12, 2016

Good overview of the fundamentals, including how to avoid some common statistical fallacies.

Apr 25, 2017

It is top part of all Data Science educational program. Work hard and you will get success.

Mar 14, 2016

Very useful course! Depending on your background you may have to span it over two sessions.

Aug 18, 2017

After completing this course, I feel confident enough on my statistical skills. Well done!

May 16, 2019

Great reminder of statistics from my masters degree. Very condensed and easy to remember.

Mar 31, 2020

Hard but rewarding. I have a hard times with maths in general, but stats I can survive !

Jun 16, 2016

Excellent course well explained by Brian Caffo with both theory and practical examples!

Jul 03, 2018

Great course. Difficult concepts, but the lectures and quizzes make it easy to learn.

Jul 05, 2017

Very helpful but need quite good statistic background to catch up with the learnings.

Jan 18, 2019

this course really provides me a insight into statistical inference. Thanks, Brian!

Mar 04, 2018

I enjoyed a lot the theoretical content and the way it was present by the lecturer.

Dec 21, 2018

very informative, very technical for a beginner, but provides a good understanding

Nov 12, 2018

Great refresher on stats and how to carry out tests in R...lots of useful examples

Sep 05, 2019

Very good course, well detailed and a nice introduction to Statistical Inference.