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學生對 约翰霍普金斯大学 提供的 可重复性研究 的評價和反饋

4,106 個評分
597 條評論


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....




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.



A very important course that greatly improved my ability to communicate the findings of any sort of data analysis that I perform. This is a critical skill to acquire to "deliver the means."


126 - 可重复性研究 的 150 個評論(共 579 個)

創建者 César A C


I really needed this course to fully understand how to work with R from the raw data to publication. Nice ¡¡

創建者 Jared P


Loved it. The concepts around reproducible research are important. Should be mandatory teaching in school.

創建者 Suryadipta D


well organized and easy-to-understand subject material, shapes up really well towards the specialization.

創建者 Marco C


Very useful course to build a scientific way of thinking, and publishing my work has been very engaging.

創建者 santiago R


Very nice course. R Markdown make everything looks better and understandable for a reproducible research.

創建者 Yasel G S


This course was very important for my work. I learned so much and I want to say thanks to the professors.

創建者 Shreyas G M


Excellently designed course! I loved how the course content and assignments were designed and delivered.

創建者 Hsin C C


Good practice from previous sessions to summarize GGplots accordingly and share same practices as well.

創建者 sneha


the best course I have ever come across which gives us an idea about knitter and markdown packages in r

創建者 Mauricio V


excellent course, specially all the topics related to markdown, rpubs. A must for each data scientist.

創建者 Timothy M S J


Great class. It helps frame all that you will do as a Data Scientist. Building blocks. Peng nails it.

創建者 Edwin L A


Excelente, sigo en el proceso muy animado y trabajando duro, ha sido una experiencia muy importante.

創建者 Hampton, B G


I enjoyed this course as it had practical applications to my work as well as my personal interests.

創建者 Jacques d P


How to implement reproducible research is an essential skill for all data scientists. Good course.

創建者 Mihai C


Very pragmatic course, tremendously useful not just for research but also for commercial projects.

創建者 Mathew K


A pretty good coverage on the need for reproducibility and the best practices to make it happen.

創建者 Christoph G


This was really valuable in terms of how to document correctly and produce reproducable reports.

創建者 Bruno R S


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

創建者 Hongzhi Z


Every week contain assignment about making big projects with less video to watch. That's great。

創建者 Md. I H


This course provides insights about how to reproduce the research findings in efficient manner.

創建者 Naren R B


Would definitey recommend this, it covers an important aspect of research for Data Scientists.

創建者 Carlos A C Z


Excellent course. High recommended for people how need make research than must be reproducible

創建者 Yanal K


Wonderful course on research principles and the creation of reproducible R reports with knitr.

創建者 Julian M D C


Very helpful course and very important subject. Perhaps the best course in the specialization

創建者 Harsh G


Great course, informative videos, challenging Projects and and excellent learning experience.