Data Wrangling elaborates on the data science introduction with a skill data scientists use constantly — pulling messy, diverse data sources into a shape that's actually usable.
What D497 covers
The course elaborates on concepts from Introduction to Data Science, developing skills crucial to data science and analysis, exploring how to wrangle data from diverse sources and shape it to enable data-driven applications.
Topics include gathering and extracting data from widely-used data formats, assessing data quality, and best practices for data cleaning.
The D497 performance assessment
Expect a performance assessment requiring you to extract, assess, and clean data from multiple sources or formats, documenting your data quality assessment process.
Key topics in D497
- Extracting data from diverse formats
- Assessing data quality
- Data cleaning best practices
Writing tips for D497
Follow the task instructions and rubric line by line
WGU performance assessments for D497 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 D497 assessment as a real deadline.
Stuck on your D497 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 D497
Students sometimes clean data without documenting the quality assessment process that justified each cleaning decision — the course wants that reasoning made visible, not just a clean final dataset.
How GradeEssays helps with D497
Share your dataset and rubric, and your writer will document the data quality assessment and cleaning process, not just deliver a clean final dataset.
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Place Your Order View All ServicesPrerequisites and program context
D497 has no listed additional prerequisites and builds on Introduction to Data Science.