Informações sobre o curso
4.5
1,400 ratings
283 reviews
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....
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cursos 100% online

Comece imediatamente e aprenda em seu próprio cronograma.
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Prazos flexíveis

Redefinir os prazos de acordo com sua programação.
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Sugerido: 5 hours/week

Aprox. 13 horas restantes
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English

Legendas: English

O que você vai aprender

  • Check
    Build an R Markdown presentation that includes a data visualization
  • Check
    Create a data product that tells a story to a mass audience
  • Check
    Develop basic applications and interactive graphics using GoogleVis
  • Check
    Use Leaflet to create interactive annotated maps

Habilidades que você terá

R ProgrammingPlotlyWeb ApplicationInteractivity
Globe

cursos 100% online

Comece imediatamente e aprenda em seu próprio cronograma.
Calendar

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.
Clock

Sugerido: 5 hours/week

Aprox. 13 horas restantes
Comment Dots

English

Legendas: English

Programa - O que você aprenderá com este curso

1

Seção
Clock
1 horas para concluir

Course Overview

In this overview module, we'll go over some information and resources to help you get started and succeed in the course. ...
Reading
1 vídeos (Total de 1 min), 5 leituras
Reading5 leituras
Syllabus10min
Welcome10min
Book: Developing Data Products in R10min
Community Site10min
R and RStudio Links & Tutorials10min
Clock
3 horas para concluir

Shiny, GoogleVis, and Plotly

Now we can turn to the first substantive lessons. In this module, you'll learn how to develop basic applications and interactive graphics in shiny, compose interactive HTML graphics with GoogleVis, and prepare data visualizations with Plotly....
Reading
24 vídeos (Total de 124 min), 2 leituras, 1 teste
Video24 videos
Shiny 1.26min
Shiny 1.34min
Shiny 1.46min
Shiny 1.59min
Shiny 2.13min
Shiny 2.29min
Shiny 2.32min
Shiny 2.44min
Shiny 2.53min
Shiny 2.66min
Shiny Gadgets 1.15min
Shiny Gadgets 1.24min
Shiny Gadgets 1.37min
GoogleVis 1.16min
GoogleVis 1.28min
Plotly 1.14min
Plotly 1.22min
Plotly 1.36min
Plotly 1.45min
Plotly 1.53min
Plotly 1.64min
Plotly 1.7min
Plotly 1.81min
Reading2 leituras
Shiny10min
Shinyapps.io Project10min
Quiz1 exercícios práticos
Quiz 110min

2

Seção
Clock
3 horas para concluir

R Markdown and Leaflet

During this module, we'll learn how to create R Markdown files and embed R code in an Rmd. We'll also explore Leaflet and use it to create interactive annotated maps....
Reading
12 vídeos (Total de 45 min), 1 leitura, 2 testes
Video12 videos
R Markdown 1.22min
R Markdown 1.33min
R Markdown 1.4min
R Markdown 1.53min
R Markdown 1.66min
Leaflet 1.13min
Leaflet 1.25min
Leaflet 1.32min
Leaflet 1.42min
Leaflet 1.52min
Leaflet 1.66min
Reading1 leituras
Three Ways to Share R Markdown Products10min
Quiz1 exercícios práticos
Quiz 212min

3

Seção
Clock
3 horas para concluir

R Packages

In this module, we'll dive into the world of creating R packages and practice developing an R Markdown presentation that includes a data visualization built using Plotly....
Reading
5 vídeos (Total de 65 min), 1 leitura, 2 testes
Video5 videos
R Packages (Part 2)14min
Building R Packages Demo18min
R Classes and Methods (Part 1)13min
R Classes and Methods (Part 2)11min
Reading1 leituras
R Packages10min
Quiz1 exercícios práticos
Quiz 38min

4

Seção
Clock
2 horas para concluir

Swirl and Course Project

Week 4 is all about the Course Project, producing a Shiny Application and reproducible pitch....
Reading
3 vídeos (Total de 16 min), 1 leitura, 1 teste
Video3 videos
Swirl 1.27min
Swirl 1.36min
Reading1 leituras
Post-Course Survey10min
4.5
Direction Signs

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comecei uma nova carreira após concluir estes cursos
Briefcase

83%

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Money

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Melhores avaliações

por SSMar 4th 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 ROJul 28th 2017

Course content was helpful. Some confusion in assignment questions not aligning with what was covered in lectures where it would have helped to clarify that was intentional.

Instrutores

Brian Caffo, PhD

Professor, Biostatistics
Bloomberg School of Public Health

Jeff Leek, PhD

Associate Professor, Biostatistics
Bloomberg School of Public Health

Roger D. Peng, PhD

Associate Professor, Biostatistics
Bloomberg School of Public Health

Sobre Johns Hopkins University

The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world....

Sobre o Programa de cursos integrados Data Science

Ask the right questions, manipulate data sets, and create visualizations to communicate results. This Specialization covers the concepts and tools you'll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. In the final Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At completion, students will have a portfolio demonstrating their mastery of the material....
Data Science

Perguntas Frequentes – FAQ

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

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