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존스홉킨스대학교의 통계적 추론 학습자 리뷰 및 피드백

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강좌 소개

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....

최상위 리뷰


2018년 10월 25일

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 .


2020년 9월 24일

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!

필터링 기준:

통계적 추론의 850개 리뷰 중 201~225

교육 기관: Dewald O

2018년 12월 21일

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

교육 기관: David R

2018년 11월 12일

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

교육 기관: Robert H

2019년 9월 5일

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

교육 기관: Elmer P

2018년 8월 19일

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

교육 기관: Maliheh S

2017년 9월 16일

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

Thanks Professor Caffo!

교육 기관: Rodrigo P

2017년 4월 27일

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

교육 기관: Rok B

2019년 6월 10일

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

교육 기관: Long T

2017년 9월 9일

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

교육 기관: danxu

2016년 5월 22일

Very useful !

Teacher is awesome, statement is clear and simple.

love this course!

교육 기관: Bruno R S

2019년 4월 20일

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

교육 기관: Vinicio D S

2017년 12월 22일

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

교육 기관: Léa F

2017년 11월 10일

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

교육 기관: Peter G

2016년 2월 4일

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

교육 기관: VICTOR G C

2020년 6월 4일

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

교육 기관: Offiong E

2017년 6월 28일

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

교육 기관: Carolina G G

2019년 9월 23일

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

교육 기관: Ruddy E U S

2016년 6월 14일

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

교육 기관: pravin

2017년 7월 3일

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

교육 기관: Marcelo A P

2016년 8월 17일

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

교육 기관: Zsolt B

2020년 11월 5일

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

교육 기관: Hector C U R

2020년 11월 4일

Excelente Curso el contenido y la metodología de enseñanza es interesante.

교육 기관: ONG P S

2020년 2월 15일

Very good course. A lot of examples helping me understanding the theories.


2017년 9월 10일

Very good for anyone wanting to get into the field of Data Science using R

교육 기관: Sukanya S

2018년 4월 6일

This is the most difficult course so far as I am not a statistics student

교육 기관: Illich M

2017년 6월 15일

This is a tough course! I had to take it multiple times to understand it.