Avis et commentaires pour d'étudiants pour Recherche reproductible par Université Johns-Hopkins
À propos du cours
Meilleurs avis
AA
12 févr. 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.
RR
19 août 2020
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 - 150 sur 580 Avis pour Recherche reproductible
par Gregorio A A P
•26 août 2017
Excellent, but I would be grateful if you could translate all your courses of absolute quality into Spanish.
par César A C
•5 juin 2017
I really needed this course to fully understand how to work with R from the raw data to publication. Nice ¡¡
par Jared P
•10 avr. 2016
Loved it. The concepts around reproducible research are important. Should be mandatory teaching in school.
par Suryadipta D
•12 avr. 2018
well organized and easy-to-understand subject material, shapes up really well towards the specialization.
par Marco C
•25 févr. 2018
Very useful course to build a scientific way of thinking, and publishing my work has been very engaging.
par santiago R
•29 nov. 2017
Very nice course. R Markdown make everything looks better and understandable for a reproducible research.
par Yasel G S
•4 août 2016
This course was very important for my work. I learned so much and I want to say thanks to the professors.
par Shreyas G M
•1 mai 2016
Excellently designed course! I loved how the course content and assignments were designed and delivered.
par Hsin C C
•6 oct. 2021
Good practice from previous sessions to summarize GGplots accordingly and share same practices as well.
par sneha
•16 avr. 2018
the best course I have ever come across which gives us an idea about knitter and markdown packages in r
par Mauricio V
•12 déc. 2016
excellent course, specially all the topics related to markdown, rpubs. A must for each data scientist.
par Timothy M S J
•29 nov. 2016
Great class. It helps frame all that you will do as a Data Scientist. Building blocks. Peng nails it.
par Edwin L A
•13 août 2017
Excelente, sigo en el proceso muy animado y trabajando duro, ha sido una experiencia muy importante.
par Hampton, B G
•1 août 2021
I enjoyed this course as it had practical applications to my work as well as my personal interests.
par Jacques d P
•11 avr. 2018
How to implement reproducible research is an essential skill for all data scientists. Good course.
par Mihai C
•8 mars 2016
Very pragmatic course, tremendously useful not just for research but also for commercial projects.
par Mathew K
•13 janv. 2020
A pretty good coverage on the need for reproducibility and the best practices to make it happen.
par Christoph G
•9 juil. 2016
This was really valuable in terms of how to document correctly and produce reproducable reports.
par Bruno R S
•21 janv. 2019
A great introduction to basics of scientific method concerning statistics and result reporting.
par Hongzhi Z
•1 nov. 2017
Every week contain assignment about making big projects with less video to watch. That's great。
par Md. I H
•4 juil. 2017
This course provides insights about how to reproduce the research findings in efficient manner.
par Naren R B
•8 avr. 2019
Would definitey recommend this, it covers an important aspect of research for Data Scientists.
par Carlos A C Z
•21 août 2017
Excellent course. High recommended for people how need make research than must be reproducible
par Yanal K
•28 mai 2016
Wonderful course on research principles and the creation of reproducible R reports with knitr.
par Julian M D C
•17 juil. 2020
Very helpful course and very important subject. Perhaps the best course in the specialization
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