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# Отзывы учащихся о курсе Байесовская статистика от партнера Университет Дьюка

3.8
звезд
Оценки: 763
Рецензии: 247

## О курсе

This course describes Bayesian statistics, in which one's inferences about parameters or hypotheses are updated as evidence accumulates. You will learn to use Bayes’ rule to transform prior probabilities into posterior probabilities, and be introduced to the underlying theory and perspective of the Bayesian paradigm. The course will apply Bayesian methods to several practical problems, to show end-to-end Bayesian analyses that move from framing the question to building models to eliciting prior probabilities to implementing in R (free statistical software) the final posterior distribution. Additionally, the course will introduce credible regions, Bayesian comparisons of means and proportions, Bayesian regression and inference using multiple models, and discussion of Bayesian prediction. We assume learners in this course have background knowledge equivalent to what is covered in the earlier three courses in this specialization: "Introduction to Probability and Data," "Inferential Statistics," and "Linear Regression and Modeling."...

## Лучшие рецензии

RR
20 сент. 2017 г.

Great course. Difficult to apprehend sometimes as the Frequentist paradigm is learned first but once you get it, it is really amazing to see the believe update in action with data.

GH
9 апр. 2018 г.

I like this course a lot. Explanations are clear and much of the (unnecessarily heavyweight) maths is glossed over. I particularly liked the sections on Bayesian model selection.

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## 226–240 из 240 отзывов о курсе Байесовская статистика

автор: Ilya P

13 сент. 2017 г.

While the first 3 courses had ample examples, guided practices, and other tools to learn, this course does not. Quizzes do not have good explanations, and videos do not have guided practice. There is no book to follow, hence, learning the material is difficult.

Instructors need to rework the course to include books, guided practices, and guided R examples in order to aid comprehension.

автор: Ben R

8 апр. 2018 г.

A frustrating course, especially when compared to the other courses in this specialization. Lectures alternated between over my head and not giving enough information. Projects seemed designed for someone with a better grasp of R. I will probably look for another course on Bayesian statistics, because I feel my grasp of these concepts is still weak.

автор: Michael F

21 сент. 2020 г.

The information felt purely academic. I know we were show how professionals have used this type of analysis before, but those examples were way more advanced than the scope of this course. Moreover, the scope of the course was too broad. More information on how to model non-linear data would have been more valuable than this.

автор: Andrew B O

11 авг. 2017 г.

The change of instructors negatively affected this class. The new instructors are nowhere near as good at explaining the data and tending to start talking about things without even explaining what they where to to use a lot of activations, which one would need to continually look up.

автор: Naren T

26 дек. 2019 г.

Very poor explanation in week 3, the new professor is not explaining the definitions or the use of them properly. Too many jargons.

Professor doesnt explain the use of prior predictive distribution and just introduces the formula without any consideration for explanation

автор: Yu-Chi B

12 окт. 2020 г.

No efforts on maintaining the quality of assignment. You will be hard or never to finish them.

Too much information concentrated in one course without clear elaboration. It should be separated to 2~3 courses.

автор: QIAN Y

29 июля 2016 г.

The course lacks of explanation and it's very difficult to follow. It seems that the instructor just reads the slides without reasoning and explanation. Suggested reading materials are needed.

автор: Vishnu

30 июня 2019 г.

A huge leap from the other courses in the specialization, which are all extremely well-constructed. Terms are not introduced and explained properly, and the whole course seems very haphazard.

15 февр. 2018 г.

1St problem speed of teaching, also other students complained

2With such a speed, material was too condensed for such a broad subject

3Not sufficient explanations for a statistics beginner

автор: Tom D

5 авг. 2016 г.

This course is not well-presented. Lectures are unimaginative, and there isn't enough supporting material or readings.

автор: Paul J

2 июля 2017 г.

Quizzes are not related to videos. There is very limited practice problems (the best way to learn math subjects).

автор: Chen Z

26 окт. 2016 г.

I get really frustrated when the tutor doesn't explain lots of concept/symbols in the materials.....

автор: Ashish C

29 авг. 2019 г.

The quality of teaching was drastically down as compared to other courses.

автор: Jeffrey W

2 июня 2018 г.

Unclear information, too vague, incomplete presentation of ideas.

автор: Shubham J

15 сент. 2019 г.

becomes too much confusing at times.