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.
von
Über diesen Kurs
Könnte Ihr Unternehmen von Mitarbeiterweiterbildungen für gefragte Kompetenzen profitieren?
Probieren Sie Coursera for Business ausWas Sie lernen werden
Develop basic applications and interactive graphics using GoogleVis
Use Leaflet to create interactive annotated maps
Build an R Markdown presentation that includes a data visualization
Create a data product that tells a story to a mass audience
Kompetenzen, die Sie erwerben
- Interactivity
- Plotly
- Web Application
- R Programming
Könnte Ihr Unternehmen von Mitarbeiterweiterbildungen für gefragte Kompetenzen profitieren?
Probieren Sie Coursera for Business ausLehrplan - Was Sie in diesem Kurs lernen werden
Course Overview
Shiny, GoogleVis, and Plotly
R Markdown and Leaflet
R Packages
Swirl and Course Project
Bewertungen
- 5 stars68,35 %
- 4 stars23,18 %
- 3 stars6,45 %
- 2 stars1,51 %
- 1 star0,48 %
Top-Bewertungen von DEVELOPING DATA PRODUCTS
Good course, but I felt it was a bit easy to get good marks on the assignments with a minimum effort assignment. Some of the ones I marked were very little to do with data-science.
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!
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.
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
Häufig gestellte Fragen
Wann erhalte ich Zugang zu den Vorträgen und Aufgaben?
Was bekomme ich, wenn ich diese Spezialisierung abonniere?
Ist finanzielle Unterstützung möglich?
Haben Sie weitere Fragen? Besuchen Sie das Learner Help Center.