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Opiniones y comentarios de aprendices correspondientes a Introduction to Bayesian Statistics por parte de Databricks

30 calificaciones

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The objective of this course is to introduce Computational Statistics to aspiring or new data scientists. The attendees will start off by learning the basics of probability, Bayesian modeling and inference. This will be the first course in a specialization of three courses .Python and Jupyter notebooks will be used throughout this course to illustrate and perform Bayesian modeling. The course website is located at The course notebooks can be downloaded from this website by following the instructions on page The instructors for this course will be Dr. Srijith Rajamohan and Dr. Robert Settlage....

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1 - 13 de 13 revisiones para Introduction to Bayesian Statistics

por Howard S

5 de jul. de 2021

Needs a better instructor. Course is very dry and boring.

por Tyler W

23 de may. de 2021

Great content, short explanations of complex topics are well explained, but there are unacceptable number of typos and grammatical errors in the accompanying notebooks. It's very obvious from the alarming number of mistakes that none of the content was proofread before publishing.

por Yi C

6 de ago. de 2021

Content is okay, but a better teaching is needed.

por Mars G

14 de ago. de 2021

This course would be a bit hard for "complete" beginners, but would be enough for people who wish to refresh knowledge about Bayesian inference and stuff. The notes and codes are very good!!

por Flavio L

24 de ene. de 2022

amazing, nice material, well explained

por stephane d

11 de nov. de 2021

Clear explanations with lots of small examples to illustrate the material. The text provided in the slides is interesting but it should just be provided in support of the code and the slides should be used to show visual examples. I still recommend this course.

por Taranpreet s

26 de feb. de 2022

Content/notes wise this course is great, But teaching style needs to be improved. Rather than reading the notes instructor should teach by giving examples and driving some of the results.

por Anupam G

21 de jul. de 2021

Rather an easy course to follow.

por Bill C

14 de oct. de 2022

There were nuggets of useful information in this course. But overall, I found the lecture style very tedious, and far too academic. Far too many integral signs, and far too few worked practice examples. I'm hoping the next two in the series are better, and more focused on the practitioner looking to solve business problems.

por Eli K

18 de may. de 2021

A course based on notebooks is not very convenient.

por Jaroslav H

20 de jun. de 2021

Terrible. The worst coursera class I ever took.

A) The quizzes contained errors, incomplete transformations for solving a problem

B) The prof. just showed a page in the book and read from it in a monotonous voice. In

order to understand anything I actually had to stop video and read this page from the book.

B) Prof never actual taught or explained anything, but just glossed over the subject. This hardly be called "teaching"

por Bob W

27 de jul. de 2021

I'd give it 0 stars if I could. The teaching style is very poor. Details are severaly lacking, and there are many mistakes in the course notebooks. I don't recommend this course. Instead look to one given by a reputable university.

por Felix R

17 de jul. de 2021

Really hard to access and use Databricks. Disappointing that this is my first course on this website. Wouldn't recommend. Appallingly set out course. Would give it 0 stars if I could. Beginners stay away!