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존스홉킨스대학교의 통계적 추론 학습자 리뷰 및 피드백

4,348개의 평가

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 849개 리뷰 중 676~700

교육 기관: Masahiro H

2016년 3월 27일

it gives an idea of how one is prepared to ingress to Data Science. I

see that I need to review it more carefully later on.

교육 기관: Stavros S

2019년 11월 21일

Weeks 3 and 4 should have been split into 2 extra weeks to explain the concepts deeper and also have more exercises

교육 기관: Marcus H Y T

2019년 6월 1일

Concepts are not well explained and slides are not well prepared. Last few topics are too brief to be useful.

교육 기관: Aia S

2019년 5월 1일

3 stars because a total beginner would not have been able to follow these lessons without a lot of rewinding.

교육 기관: Joe F

2016년 11월 27일

Materials need to be updated - there are way too many inconsistencies between videos, exercises, and slides.

교육 기관: Vasudevan D

2018년 1월 28일

Too much concepts to learn and practice. Course material can be little more engaging and split accordingly.

교육 기관: Maxim M

2017년 12월 10일

Very difficult lectures. You need a solid statistical background to keep up with the pace of the professor.

교육 기관: Deleted A

2017년 3월 2일

The ideas and concepts explained here are really important but are explained/written in a bit messy manner.

교육 기관: xuwei. l

2016년 9월 22일

lectures notes is not details enough, had to google around other materials to grasp the courser work better

교육 기관: Muhammad M A S

2021년 1월 11일

It's very important and very helpful, but it needs to be of more time/low speed to be perfectly absorbed.

교육 기관: Rezoanoor/CS/Rezoanoor R

2020년 3월 13일

It covers a lot of topics, good for that but submitting assignment via Swirl is extremely boring.

교육 기관: manuel s g

2020년 7월 5일

This is module where I have learn less. Instructor also was not dynamic as previous ones.

교육 기관: Codrin K

2018년 3월 5일

Too bad it all starts from mathematical theorey; I would prefer a problem based approach.

교육 기관: Alex F

2018년 2월 12일

Very detailed and a little painful :) but I am sure it will be useful information

교육 기관: Lindsay S

2017년 3월 2일

These are complex topics, and just the quick overview doesn't fully explain them.

교육 기관: Nicolás H

2020년 10월 11일

Me hubiera gustado tener más detalle de algunos conceptos clave de estadística.

교육 기관: Gibson W

2016년 2월 9일

Not one a statistics newbie should take, had to take it twice just to grasp 80%

교육 기관: Bernardo D

2016년 5월 20일

Content runs a bit fast but good course for stat inference with R focus.

교육 기관: 郑淳玥

2019년 6월 15일

The materials are not so clear to someone who's not familiar with stat.

교육 기관: Ali M

2017년 5월 3일

Concepts weren't explained properly. The instructor was going too fast.

교육 기관: Tomasz J

2016년 5월 4일

It's quite involved, fast and not explained thoroughly in some places.

교육 기관: Sergey

2017년 6월 13일

Unfortunately, the manner of presenting information desires the best.

교육 기관: Sushil K

2016년 5월 10일

Steep Learning Curve. Swirl exercises are important for this course

교육 기관: B S

2018년 4월 25일

Less good than expected. Explanations could be more clear.

교육 기관: pulkit k

2018년 5월 26일

I don't like the example and the explanation at all.