Data Science and Analytics brings genuinely interdisciplinary data science methods — statistics, computer science, visualization, social science — into the nursing informatics toolkit.
What C797 covers
The course addresses the interdisciplinary and emerging field of data science in healthcare, teaching students to combine tools and techniques from statistics, computer science, data visualization, and social sciences to solve problems using data.
Topics include data analysis, database management, inferential and descriptive statistics, statistical inference, and process improvement.
The C797 performance assessment
Expect a performance assessment requiring statistical analysis of a healthcare dataset, applying both descriptive and inferential methods to inform a process improvement recommendation.
Key topics in C797
- Interdisciplinary data science methods
- Descriptive and inferential statistics
- Statistical inference
- Process improvement through data
Writing tips for C797
Follow the task instructions and rubric line by line
WGU performance assessments for C797 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.
Ground graduate nursing analysis in a specific organization or patient population
WGU evaluators are trained to distinguish genuine graduate-level analysis from a paraphrased textbook summary. Anchor your submission in the specific organization, unit, or patient population the task provides, and show the reasoning connecting your recommendation to that real-world context.
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 C797 assessment as a real deadline.
Stuck on your C797 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 C797
Students sometimes run descriptive statistics only (averages, counts) without the inferential analysis (hypothesis testing, confidence intervals) the course specifically covers — a complete response uses both types together.
How GradeEssays helps with C797
Share your dataset and rubric, and your writer will apply both descriptive and inferential statistical methods correctly, connecting the analysis to a process improvement recommendation.
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Share your task instructions and rubric and we match you with a writer who knows this course and WGU's evaluation standards.
Place Your Order View All ServicesPrerequisites and program context
C797 has no listed additional prerequisites within the Nursing Informatics specialty.
- Master of Science, Nursing - Nursing Informatics (BSN to MSN)
- Master of Science, Nursing - Nursing Informatics (RN to MSN)