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Voltar para Pesquisa Reprodutível

Comentários e feedback de alunos de Pesquisa Reprodutível da instituição Universidade Johns Hopkins

3,403 classificações
484 avaliações

Sobre o curso

This course focuses on the concepts and tools behind reporting modern data analyses in a reproducible manner. Reproducible research is the idea that data analyses, and more generally, scientific claims, are published with their data and software code so that others may verify the findings and build upon them. The need for reproducibility is increasing dramatically as data analyses become more complex, involving larger datasets and more sophisticated computations. Reproducibility allows for people to focus on the actual content of a data analysis, rather than on superficial details reported in a written summary. In addition, reproducibility makes an analysis more useful to others because the data and code that actually conducted the analysis are available. This course will focus on literate statistical analysis tools which allow one to publish data analyses in a single document that allows others to easily execute the same analysis to obtain the same results....

Melhores avaliações


Feb 13, 2016

My favorite course, at least it gives me an argument why scripted statistics is awesome and can be applied to a number of data related activities. Recycling chunks of code has proven useful to me.


Jun 23, 2017

Of course, I liked this course. There was even an extra non-graded assignment. Plus two graded assignments. Quality instruction videos and lots of practice. Everything a learner needs.

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1 — 25 de {totalReviews} Avaliações para o Pesquisa Reprodutível

por Matthew S

Mar 05, 2019

I often feel like people completely ignore the "science" aspect of data science (read any data science career question on quora for example). This course does an excellent job of introducing key aspects of the scientific method that you might not have encountered if you've never done an experiment before. The final project is a lot of work (mostly data cleaning) but very fun and informative.

por Dzmitry S

May 10, 2016

Too expensive for such a simple course

por Chris M

Apr 09, 2016

I've already written a review but it seems to have been removed...

This is an awful course, there is very little purpose to it whatsoever, it is basically a module in markdown which will in all honesty not have much application for most learners.

In addition, the course is not at all balanced / laid out well, there is a peer assignment in week 1, which you need to have covered week 2's content for.

Lastly, the recording quality of some of the lectures is awful, it is clear that they have simply used some recordings of an actual classroom session of a related course instead of recording for Coursera.

In all honesty, this entire specialisation is of awful quality, it is not a data science course, it is a "here's a few useful things in R" course, and the instructors should be ashamed that their institution makes money from it.

por Anusha V

Jan 03, 2019

Excellent Course - particular useful for anyone doing research and performing any kind of analysis on the observed data.

por Omar N

Nov 08, 2018

Really good module/course, gives you a glimpse into real world implementation of data science and the challenges involved with it.

por Premkumar S

Nov 12, 2018

Excellent course! Very good course materials and well thought out quizzes! Highly recommend!!

por Mahmoud E

Nov 27, 2018

Great course very informative

por Alzum S M

Jan 08, 2019

A great course that will take you ahead to be a Data Scientist

por Bruno R d C S

Jan 22, 2019

A great introduction to basics of scientific method concerning statistics and result reporting.

por Azat G

Jan 24, 2019

Amazing course, it introduced the concepts of reproducibility which is used to provide scientific fairness, transparency.

por Glenn W

Mar 04, 2019

Favorite course so far. Really enjoyed working on the projects. They were very helpful in helping to reinforce the material.

por Fidel S C

Mar 20, 2019

Very good course

por Chanpreet K

Dec 30, 2018

Good course content. All things explained quite well.

por Nicholas S

Nov 16, 2018

Great course!

por Md G M

Jul 30, 2018

Course contents are very good and easy to understands.

por Mohammad A

Jul 20, 2018

Great course , very informative and well organized

por Baburaj V

Jul 20, 2018

Nicely explained topics.

por Rodrigo A d S R

Sep 05, 2018

Really cool concept and pratice

por Raunak S

Oct 11, 2018

great course for those wanting to learn basic concepts of Reproducible Research.

por Akshay D

Oct 14, 2018

Great Experience..!

por Praveen k

Oct 19, 2018

Good course. Examples given throughout the course are biological based so it is little hard to understand completely because they are technical

por Marco A I E

Sep 20, 2018

Very interesting, the fact that our research procedure can be explained and showed to other to reproduce, validate and work on top of it is fantastic.

por Claudio F S

Sep 21, 2018

The course was fantastic. I realized the power that a Data Science Analyze can create. In this module in particular, I was even more interested in completing the specialization. Thank you Professor Roger Penn and the entire team of teachers for their teachings.

por Shashwat K

Sep 11, 2018

great course

por AKIL H

Oct 06, 2018

Coursera is best platform for E_Learning's