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Voltar para Desenvolvimento de dados

Comentários e feedback de alunos de Desenvolvimento de dados da instituição Universidade Johns Hopkins

4.6
estrelas
2,234 classificações

Sobre o curso

A data product is the production output from a statistical analysis. Data products automate complex analysis tasks or use technology to expand the utility of a data informed model, algorithm or inference. This course covers the basics of creating data products using Shiny, R packages, and interactive graphics. The course will focus on the statistical fundamentals of creating a data product that can be used to tell a story about data to a mass audience....

Melhores avaliações

SS

3 de mar de 2016

This is a great introduction to some of the many ways to present your data. It's probably the easiest course in the specialisation but shows off an impressive array of widgets and gadgets.

RS

18 de nov de 2018

This course was amazing, it could definetly be more deep in each of the subjects, but gives you so much practice in tools that are very useful in the day by day of a data scientist

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26 — 50 de 417 Avaliações para o Desenvolvimento de dados

por MUZAFFAR B H -

24 de out de 2017

I learn a lot of building data products and presentation from this course, which later can be used on my analysis or academic work. Although there might be another better tools available out there, at least I can start from what I have learn from this course.

por Jan K

2 de ago de 2017

To me so far the best course in the Specialization. Everything laid out very clearly, a multitude of useful packages and techniques. The assignments were really informative and the final one was outright satisfying to do. I was happy to take this course.

por Bruno R S

20 de abr de 2019

this curious course teaches about tools and techniques for communication with audiences on data science. some tools are very interesting and deserve a deep research from the learner, this course is mostly informative about the potential of such tools.

por Dr N J T P

23 de ago de 2017

Tough to get the assignments and everything up and published but a good practical course. I started this course a while ago but life got busy and I had to pull out. There have been changes to the course since then and it has made the course better.

por ARVIND K S

7 de jun de 2020

One of the finest courses and specializations on Data Science, It lays the foundations of creating new apps,, doing their documentation and making presentations. Some useful projects will keep you engrossed, and enhance the learning experience.

por Brynjólfur G J

24 de set de 2017

This course taught me very exciting things and I am looking forward to making shiny apps for my portfolio. It may have been way too easy and quick to finish, though. I barely needed a week. A bigger assignment with leaflet would have been nice.

por Nino P

24 de mai de 2019

In terms of practical data science in R, this is the most usefull course in the specialization. Here you can learn a lot about very important R packages such as shiny, MarkDown, leaflet,... Highly recommendable and very, very important.

por Philip T

1 de mai de 2017

A very good coverage on creating interactive charts using various facilities such as plotly, google vis, and the shiny app framework. The knowledge is very practical to be used immediately for my day-to-day work.

por Sanjay F

8 de jul de 2017

This was an exceptional course. The assignments and projects were thought provoking. Can we get some assignments/projects linked to this course so that we could apply our learning and earn some money as well?

por Regis O

31 de dez de 2016

This course is packed with rich content that draws on all of the data science concepts in the other 8 courses. The best part is leaning how to use Shinyio so it is easy to share R analysis and visualizations.

por Leonardo A

16 de dez de 2015

This is very useful course and I using most of the items especially shiny and slidify, and other tools, I have recommended this course of all my colleages. Now I'm writting my reports with RStudio.

por Stefan S

4 de mar de 2016

This is a great introduction to some of the many ways to present your data. It's probably the easiest course in the specialisation but shows off an impressive array of widgets and gadgets.

por Olmedo A A M

23 de ago de 2021

It was excellent. I think that you could add other packages like flexdashboard or in the shinydashboard library in the shiny package. So we get other advance features as a data product.

por Rafael S

19 de nov de 2018

This course was amazing, it could definetly be more deep in each of the subjects, but gives you so much practice in tools that are very useful in the day by day of a data scientist

por José A G R

5 de fev de 2017

A course where you can show everything learned in the R language, especially in visualizations.

I hope and in the future there are courses focused only on visualization with R

por Ashutosh B

13 de mar de 2016

Although it is an easy course to pass, it is very important in content. It teaches the finishing moves, the ones you'll need after all your hard work. 5-star without doubt.

por Juan E F N

1 de set de 2017

Brian Caffo is the best! No one could explain better than him. Congratulations for this excellent course, you are my inspiration to become a better data scientist.

por Leonardo Z

25 de mar de 2020

There are some concepts that should be disclosed as pre-requisites for this course. I had to re-sit this course not for the content but for the pre-requisites.

por Juan A J R

17 de fev de 2016

The course not only instroduce me to great resources it also pointed me in the right direction to further develop the skills needed to create data products.

por Keidzh S

6 de ago de 2018

This course helped to get the knowledge how to create shiny apps and r packages. Very usefull, thank you every lecturer and masters how create this course.

por JC C

27 de dez de 2016

Excellent course, well delivered and adapted that help to build a structured output from a statistical analysis. I would recommend this course to anyone.

por Yadder A

8 de jan de 2020

All that I learned on this course it's totally helpful. I loved this course because I feel that learn a lot of new useful tools that I can use in my work.

por Rok B

28 de ago de 2019

It is a very good course. There's quite some work, but the content isn't hard. Make sure you update your RStudio for all the features to work correctly

por Alimohammad P

9 de out de 2019

Out of the other 8 modules, I personally liked this one the most. Here is where you put into practice what you've have learned so far. Great job guys!

por Shubham K

1 de ago de 2019

It is a good course provide neccessary stuffs for data science.

You can skip week 4 as it is done previously in other courses . Small and good course.