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Data Visualization & Dashboarding with R

This Specialization is intended for learners seeking to develop the ability to visualize data using R. Through five courses, you will use R to create static and interactive data visualizations and publish them on the web, which will you prepare you to provide insight to many types of audiences.

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What's inside

Five courses

Getting Started with Data Visualization in R

Data visualization is a critical skill for anyone that routinely using quantitative data in his or her work. One of the critical tools for data visualization today is the R statistical programming language. By the end of this course, students will be able to import data into R, manipulate that data using tools from the popular tidyverse package, and make simple reports using R Markdown.

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Data Visualization in R with ggplot2

Data visualization is a critical skill for anyone using quantitative data in their work. One of the critical tools for data visualization today is the R statistical programming language. Especially in conjunction with the tidyverse software packages, R has become an extremely powerful and flexible platform for making figures, tables, and reproducible reports.

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Advanced Data Visualization with R

Data visualization is critical for those using quantitative data, and R is a powerful tool for creating figures, tables, and reports. This course expands learners' visualization options, covering spatial data, interactive figures, and more.

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Publishing Visualizations in R with Shiny and flexdashboard

Data visualization is a critical skill for anyone that routinely using quantitative data in his or her work. This course covers creating interactive visualization using Shiny, as well as combining different kinds of figures made in R into interactive dashboards.

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Data Visualization Capstone

Data visualization is a critical skill for anyone using quantitative data in their work. This course focuses on applying those skills to a unique project, drawing on publicly available data to tell a compelling story using the data visualization toolkit assembled in the previous courses.

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Time

0 hours

Level

Introductory

Via

Coursera

Institution

Johns Hopkins University

Instructor

Collin Paschall

Level

Introductory

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