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Kursteilnehmer-Bewertung und -Feedback für Reproducible Research von Johns Hopkins University

4.6
Sterne
3,768 Bewertungen
542 Bewertungen

Über den Kurs

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....

Top-Bewertungen

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.

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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176 - 200 von 525 Bewertungen für Reproducible Research

von Leopoldo S

Oct 30, 2016

Impressed. Great, great, course.

Enjoy and learn at the same time.

von Fabio R C

Jul 24, 2017

Great opportunity to become more scientific report the job in R

von carlos j m

Apr 12, 2019

Great course, good lectures. I learned a lot of usable skills.

von Alzum S M

Jan 08, 2019

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

von Brett W

Dec 04, 2017

I really liked this course. I have carried a lot out of it.

von Dorian P

May 08, 2017

Very nice course, learn a lot with it. Thank you very much.

von Carl W

Jul 10, 2018

Knitr was a nice tool to learn. I can see it being useful.

von Varishu P

Jul 03, 2018

most nicely designed course in the specialization loved it

von Andrew

Apr 07, 2019

One of my favorite courses in the specialization so far.

von Andreas K

Dec 12, 2016

best course so far in the data scienist course package!

von James W

Oct 31, 2016

This course helped me very much with my current career.

von Md G M

Jul 30, 2018

Course contents are very good and easy to understands.

von Massimo M

Feb 15, 2018

Very nice course, easy to follow and very well taught.

von Giovanni M C V

Feb 16, 2016

Excellent course with great didactic. Congratulations!

von Chanpreet K

Dec 30, 2018

Good course content. All things explained quite well.

von Dewald O

Oct 31, 2018

Such a great course! The instructors are really good.

von César A

Jun 16, 2020

Very nice program and a lot of practical exercices

von Mohammad A

Jul 20, 2018

Great course , very informative and well organized

von Lei S

Dec 27, 2017

Only thing: maybe some lectures should be updated.

von phani v k

Jan 08, 2017

This is a very good course for a begineer like me.

von Laro N P

May 02, 2018

Good course. Every new course is a new challenge.

von Shivanand R K

Jun 21, 2016

Great and Excellent thoughts and course material.

von Nguyen T T

May 08, 2017

The course very good for beginner data scientist

von Akram N

May 02, 2019

Very fruitful. I enjoyed this lesson very much.

von Jamie M

Oct 26, 2018

Good course. Does exactly what it says it does.