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Reproducible Research, Johns Hopkins University

Оценки: 2,886
Рецензии: 428

Об этом курсе

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....

Лучшие рецензии

автор: AA

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.

автор: AS

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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Рецензии: 412

автор: Don Moffatt

Dec 10, 2018

Good, but the final project involved too much programming and the size of the data file was unmanageable on my three year old laptop. Could the objectives be met with a smaller data file and less programming?


Dec 05, 2018

Learnt a Lot about Documenting Standards and specially Markdown Language and KnitR. Very good tips, Thanks.

автор: Mahmoud Elshiekh

Nov 27, 2018

Great course very informative

автор: Nicholas Stewart

Nov 16, 2018

Great course!

автор: Alzum Shahadat Miazee

Nov 12, 2018

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

автор: Premkumar Siddharth

Nov 12, 2018

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

автор: Omar Nooreddin

Nov 08, 2018

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

автор: Brittany Stephen

Nov 01, 2018

I wish they'd stop labeling the course projects as two hours. The week 4 project took a lot longer than that (closer to a week). Also, a lot of the information presented was repetitive.

автор: Georgios Papadopoulos

Oct 31, 2018

I learned how to write and publish reproducible articles in a very short period of time!

автор: Dewald Olivier

Oct 31, 2018

Such a great course! The instructors are really good.