The R Programming Environment

Johns Hopkins treats R as a working analysis environment. Basic language ideas lead into data manipulation, text and regular expressions, then memory and larger datasets. The approximately twenty-seven-hour syllabus includes alternative lesson routes in several sections.

What you will learn

• Filter, merge and summarize records in R.
• Handle dates, times and text patterns in an analysis.
• Diagnose memory and data-size constraints in an R workflow.

Who this suits

Learners ready for intermediate R work beyond isolated syntax exercises.

Before you enroll

The provider labels the course intermediate and does not specify prerequisites. Review its lesson choices and assignment requirements before setting a study schedule.

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

Process a collection of text records and measure the memory used by two representations. Explain which transformation changes the result and which only changes storage.

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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