Analytics Programming builds genuine algorithmic thinking using both Python and R — the dual-language fluency the MSDA program expects of its graduates.
What D598 covers
The course builds algorithmic thinking using both Python and R, building from programming foundations. Learners use libraries and packages to perform common analytics tasks including acquiring, organizing, and manipulating datasets.
The course presents methods for applying statistical functions and graphical user interfaces to perform basic analysis and present findings.
The D598 performance assessment
Expect a performance assessment requiring you to solve an analytics problem using both Python and R, applying appropriate libraries and statistical functions.
Key topics in D598
- Algorithmic thinking in Python and R
- Libraries and packages for analytics tasks
- Statistical function application
- Presenting analytical findings
Writing tips for D598
Follow the task instructions and rubric line by line
WGU performance assessments for D598 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 D598 assessment as a real deadline.
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Why students seek help with D598
Students sometimes rely on only one language when the task expects demonstrated fluency in both — check whether your task specifically requires Python, R, or both before assuming either is sufficient.
How GradeEssays helps with D598
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Place Your Order View All ServicesPrerequisites and program context
D598 has no prerequisites.
- Master of Science, Data Analytics - Data Science
- Master of Science, Data Analytics - Data Engineering
- Master of Science, Data Analytics - Decision Process Engineering