Data Preparation and Exploration applies analytics programming skills to the earliest, most foundational steps of the analytics life cycle — cleaning, understanding, and beginning to test hypotheses about data.
What D599 covers
The course applies analytical programming skills to the early steps of the data analytics life cycle, covering data cleaning for structure/accuracy/quality, interpretation of descriptive and inferential statistics and visualizations, and wrangling data for further analysis.
The course introduces hypothesis testing focused on parametric tests, and addresses communication skills/tools for explaining findings within an organization.
The D599 performance assessment
Expect a performance assessment requiring you to clean a dataset, conduct exploratory analysis with descriptive/inferential statistics, and test a hypothesis using parametric methods.
Key topics in D599
- Data cleaning for quality and accuracy
- Descriptive and inferential statistics
- Hypothesis testing (parametric)
- Communicating analytical findings
Writing tips for D599
Follow the task instructions and rubric line by line
WGU performance assessments for D599 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 D599 assessment as a real deadline.
Stuck on your D599 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 D599
Students sometimes skip a genuine hypothesis-testing step, jumping from data exploration straight to conclusions — the course specifically requires formal parametric hypothesis testing demonstrated.
How GradeEssays helps with D599
Share your dataset and rubric, and your writer will build the data cleaning, exploratory analysis, and a properly conducted parametric hypothesis test.
Get Help With D599
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
D599 requires The Data Analytics Journey, Data Management, and Analytics Programming as prerequisites.
- Master of Science, Data Analytics - Data Science
- Master of Science, Data Analytics - Data Engineering
- Master of Science, Data Analytics - Decision Process Engineering