Data Visualization with R

IBM moves from individual figures toward an interactive reporting application. The syllabus introduces common chart types and customization, then mapping with Leaflet and dashboards with Shiny. The estimated twelve-hour workload makes this a focused continuation after R basics.

What you will learn

• Select and customize charts for different variables.
• Display geographic information with a Leaflet map.
• Connect an interactive dashboard interface to server-side R behavior.

Who this suits

R learners who want to communicate findings through charts, maps or a dashboard.

Before you enroll

The course is marked beginner, but its prerequisites are not specified. Check your confidence with R objects and packages before starting the dashboard section.

Coursera offers paid enrollment or subscription access. Check the enrollment screen for assessment and certificate terms, trials and any financial-aid options. Tool subscriptions, model API usage and cloud services may cost extra.

Put it into practice

Create a dashboard for a small public dataset. Give each chart a clear question and verify that filters update the displayed totals consistently.

Source and review

This overview is based on the provider's published information, checked on 12 October 2026. It is an editorial assessment, not a claim that we completed the resource. Time filters are approximate study ranges; projects and exercises can take longer.

View the curriculum and current access options at Coursera.

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