Data Science with R - Capstone Project

IBM brings an R workflow together around a bike-sharing demand project. Collection and preparation lead into exploratory analysis, regression and a Shiny dashboard, followed by a presentation. At about twenty-five hours, this is a consolidation project rather than a brief introduction.

What you will learn

• Prepare collected records for exploration and modeling.
• Evaluate regression models for bike-sharing demand.
• Present predictions through a dashboard and an explanatory report.

Who this suits

R learners who are ready to combine programming, analysis and visualization in a larger project.

Before you enroll

The provider labels this intermediate. Review the earlier R, SQL and visualization courses if those parts of the workflow are unfamiliar.

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

Reproduce the project with a documented holdout period. Include one baseline prediction and explain where the model performs poorly before presenting the dashboard.

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.

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