À propos de ce cours
4.5
1,485 notes
•
298 avis
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....
Stacks

Cours 9 sur 10 dans la

Spécialisation Data Science
Globe

Cours en ligne à 100 %

Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Calendar

Dates limites flexibles

Réinitialisez les dates limites selon votre disponibilité.
Clock

Recommandé : 5 hours/week

Approx. 13 heures pour terminer
Comment Dots

English

Sous-titres : English

Ce que vous allez apprendre

  • 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

Compétences que vous acquerrez

InteractivityPlotlyWeb ApplicationR Programming
Stacks

Cours 9 sur 10 dans la

Spécialisation Data Science
Globe

Cours en ligne à 100 %

Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Calendar

Dates limites flexibles

Réinitialisez les dates limites selon votre disponibilité.
Clock

Recommandé : 5 hours/week

Approx. 13 heures pour terminer
Comment Dots

English

Sous-titres : English

Programme du cours : ce que vous apprendrez dans ce cours

1

Section
Clock
1 heures pour terminer

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 vidéos (Total 1 min), 5 lectures
Video1 vidéos
Welcome to Developing Data Products1 min
Reading5 lectures
Syllabus10 min
Welcome10 min
Book: Developing Data Products in R10 min
Community Site10 min
R and RStudio Links & Tutorials10 min
Clock
3 heures pour terminer

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 vidéos (Total 124 min), 2 lectures, 1 quiz
Video24 vidéos
Shiny 1.16 min
Shiny 1.26 min
Shiny 1.34 min
Shiny 1.46 min
Shiny 1.59 min
Shiny 2.13 min
Shiny 2.29 min
Shiny 2.32 min
Shiny 2.44 min
Shiny 2.53 min
Shiny 2.66 min
Shiny Gadgets 1.15 min
Shiny Gadgets 1.24 min
Shiny Gadgets 1.37 min
GoogleVis 1.16 min
GoogleVis 1.28 min
Plotly 1.14 min
Plotly 1.22 min
Plotly 1.36 min
Plotly 1.45 min
Plotly 1.53 min
Plotly 1.64 min
Plotly 1.7 min
Plotly 1.81 min
Reading2 lectures
Shiny10 min
Shinyapps.io Project10 min
Quiz1 exercices pour s'entraîner
Quiz 110 min

2

Section
Clock
3 heures pour terminer

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 vidéos (Total 45 min), 1 lecture, 2 quiz
Video12 vidéos
R Markdown 1.14 min
R Markdown 1.22 min
R Markdown 1.33 min
R Markdown 1.4 min
R Markdown 1.53 min
R Markdown 1.66 min
Leaflet 1.13 min
Leaflet 1.25 min
Leaflet 1.32 min
Leaflet 1.42 min
Leaflet 1.52 min
Leaflet 1.66 min
Reading1 lectures
Three Ways to Share R Markdown Products10 min
Quiz1 exercices pour s'entraîner
Quiz 212 min

3

Section
Clock
3 heures pour terminer

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 vidéos (Total 65 min), 1 lecture, 2 quiz
Video5 vidéos
R Packages (Part 1)7 min
R Packages (Part 2)14 min
Building R Packages Demo18 min
R Classes and Methods (Part 1)13 min
R Classes and Methods (Part 2)11 min
Reading1 lectures
R Packages10 min
Quiz1 exercices pour s'entraîner
Quiz 38 min

4

Section
Clock
2 heures pour terminer

Swirl and Course Project

Week 4 is all about the Course Project, producing a Shiny Application and reproducible pitch....
Reading
3 vidéos (Total 16 min), 1 lecture, 1 quiz
Video3 vidéos
Swirl 1.12 min
Swirl 1.27 min
Swirl 1.36 min
Reading1 lectures
Post-Course Survey10 min
4.5
Direction Signs

32%

a commencé une nouvelle carrière après avoir terminé ces cours
Briefcase

83%

a bénéficié d'un avantage concret dans sa carrière grâce à ce cours
Money

13%

a obtenu une augmentation de salaire ou une promotion

Meilleurs avis

par SS•Mar 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.

par RO•Jul 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.

Enseignants

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

À propos de 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....

À propos de la Spécialisation 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

Foire Aux Questions

  • 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.

D'autres questions ? Visitez le Centre d'Aide pour les Etudiants.

Coursera propose un accès universel à la meilleure formation au monde, en partenariat avec des universités et des organisations du plus haut niveau, pour proposer des cours en ligne.
© 2018 Coursera Inc. Tous droits réservés.
Télécharger dans l'App StoreDisponible sur Google Play