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Developing Data Products, 존스홉킨스대학교

4.5
1,699개의 평가
325개의 리뷰

About this Course

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....

최상위 리뷰

대학: SS

Mar 04, 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.

대학: JR

Feb 05, 2017

A course where you can show everything learned in the R language, especially in visualizations.\n\nI hope and in the future there are courses focused only on visualization with R

필터링 기준:

324개의 리뷰

대학: Bruno Rafael de Carvalho Santos

Apr 20, 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.

대학: Premkumar Siddharth

Apr 10, 2019

Great course!! Was very excited with the whole process of learning to write an app and create something useful!! Thank You!

대학: Alfredo Aranda Núñez

Apr 08, 2019

Interesting course but some topics don't have motivation

대학: João Freire

Mar 16, 2019

Excellent course (like the previous 8 in the specialization) and very useful for anyone working with data and involved in data storytelling. Brian (the teacher) does an awesome job explaining the concepts and how the functions and scripts in R work and interact with each other to bring about shiny apps and other visualizations. A big "Thank you!" to everyone who created this course!

대학: Paul Ringsted

Mar 14, 2019

A disappointing end to the pre-capstone lectures, taking the foot off the machine learning gas from course 8 with a detour back to tools and yet another Rmarkdown lecture. This basically covers building shiny apps (needed for the capstone), leaflet (maps), making presentations in RStudio - then gets lost in R Packages and Swirlify which are not very useful here. Some of this is needed in the capstone, but this course can be compressed and combined with earlier courses and make room here for something more substantial at this late stage in the specialization.

대학: César Arquero

Feb 18, 2019

Demanding if you are not used to do this kind of things, but, worth It if you give yourself a time to get into it.

대학: Raul Martinez

Feb 14, 2019

It is a nice class but many of the topic were already covered on previous class of the specialization. If this is the only class you will take, it is okay but it you are taking the whole specialization this is like doing few (not all) things again

대학: Daniel J. Rodriguez

Feb 12, 2019

This class includes a lot of introductory content an a good measure of hands-on practice. It also provides a great amount of resources and reference material for the learners to expand their knowledge further.

대학: Vijay Bhagwandas

Feb 08, 2019

Review took too long

대학: Lucicleyton Henrique de Farias

Feb 06, 2019

The syllabus is very unbalanced through the weeks. For example the week 01 could be split into two weeks . The week 04, in my view, is unnecessary.