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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

4.2
4,090 个评分
813 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 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!

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176 - 统计推断 的 200 个评论(共 783 个)

创建者 Dan K H

Jun 16, 2016

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

创建者 Harland H

Jul 3, 2018

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

创建者 Charles Z

Jul 5, 2017

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

创建者 LIWANGZHI

Jan 17, 2019

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

创建者 André M M

Mar 4, 2018

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

创建者 Dewald O

Dec 21, 2018

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

创建者 David R

Nov 12, 2018

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

创建者 Robert H

Sep 5, 2019

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

创建者 Elmer P

Aug 19, 2018

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

创建者 Maliheh S

Sep 16, 2017

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

Thanks Professor Caffo!

创建者 Rodrigo P

Apr 27, 2017

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

创建者 Rok B

Jun 10, 2019

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

创建者 Long T

Sep 9, 2017

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

创建者 danxu

May 22, 2016

Very useful !

Teacher is awesome, statement is clear and simple.

love this course!

创建者 Bruno R S

Apr 20, 2019

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

创建者 Vinicio D S

Dec 22, 2017

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

创建者 Léa F

Nov 10, 2017

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

创建者 Peter G

Feb 4, 2016

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

创建者 VICTOR G C

Jun 4, 2020

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

创建者 Offiong E

Jun 28, 2017

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

创建者 Carolina G G

Sep 23, 2019

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

创建者 Ruddy U

Jun 14, 2016

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

创建者 pravin

Jul 3, 2017

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

创建者 Marcelo A P

Aug 17, 2016

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

创建者 Zsolt B

Nov 5, 2020

Excellent course, each and every drop of it is highly useful and valuable.