Data Analysis with R builds genuine R programming fluency through exploratory data analysis (EDA) — the approach for summarizing and visualizing a dataset's important characteristics.
What D498 covers
The course focuses on exploratory data analysis using R, developing skills in R programming to acquire and load datasets, create appropriate statistical summaries, and create data visualizations to uncover and communicate insights using R.
The D498 performance assessment
Expect a performance assessment requiring you to conduct exploratory data analysis in R on a given dataset, producing statistical summaries and visualizations that uncover meaningful insights.
Key topics in D498
- R programming for EDA
- Statistical summaries in R
- Data visualization with R
- Communicating data insights
Writing tips for D498
Follow the task instructions and rubric line by line
WGU performance assessments for D498 are graded against a fixed rubric — every rubric line has to be visibly addressed, usually with a labeled heading that mirrors the rubric language. Skipping a rubric point because it seems minor is the single most common reason a competent submission comes back "Not Yet Competent" for revision.
Show your actual code, queries, and output, not just a description
WGU evaluators are trained to distinguish genuine technical work from a paraphrased summary. Include your actual code, SQL queries, or model output alongside your written analysis — a rubric checking technical competency wants to see the artifact and the reasoning behind it, not just a narrative description.
Because WGU is self-paced, don't let "no deadline pressure" become no submission
There's no weekly due date forcing progress, which means procrastination costs more at WGU than at a traditional term-based school — a stalled task can quietly eat weeks of a term. Treat your own target date for each D498 assessment as a real deadline.
Stuck on your D498 task?
Our writers know WGU's competency-based format and this course's performance assessment. Get an original, properly cited paper matched to your task instructions.
Why students seek help with D498
Students sometimes produce visualizations without the statistical summary work that should ground them — a strong EDA response pairs statistical summaries with visualizations that reflect and reinforce them.
How GradeEssays helps with D498
Share your dataset and rubric, and your writer will build the R-based EDA with statistical summaries and visualizations that work together to uncover genuine insights.
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Place Your Order View All ServicesPrerequisites and program context
D498 has no listed additional prerequisites.