D467 is the third course in WGU's data sequence. The program guide describes it as building proficiency with organizing, preparing, transforming, cleaning and verifying data, using critical thinking, spreadsheet and SQL techniques.
It is term 3 with D468 Discovering Data as a prerequisite. Students may work towards the Google Data Analytics Professional Certificate and the WGU Business Analysis Certificate at the same time. The work is detailed and mistakes in cleaning flow into every later course.
Course at a Glance
| Item | Details |
|---|---|
| University | Western Governors University (WGU) |
| Program | Bachelor of Science, Supply Chain and Operations Management |
| Position | Term 3, 3 competency units |
| Prerequisite | D468 Discovering Data |
| Tools | Spreadsheets and SQL |
| Certificates | Can run alongside the Google Data Analytics Professional Certificate and the WGU Business Analysis Certificate |
What D467 Covers
| Competency (summarized) | What it means |
|---|---|
| Key data structures, types, formats and integrity in collection | Knowing what kind of data you hold and what can go wrong |
| Best practices for preparing data in spreadsheets and SQL | Consistent formats, clear naming, organized tables |
| Cleaning and verification using spreadsheet techniques and SQL | Fixing errors, then proving the data is fit to use |
Key Concepts Explained
Data Types and Integrity
Numbers, text, dates and logical values behave differently. Integrity means the data is accurate, complete and consistent.
Example: A "state" column containing "CA", "Calif." and "California" will split one group into three. Standardizing to one form fixes counts.
Cleaning Steps
Typical steps are removing duplicates, trimming spaces, handling blanks, correcting types and checking outliers. Record each change so the process is repeatable.
Example: Use TRIM to remove stray spaces, then a duplicate check on customer ID. Compare the row count before and after and note how many rows were removed and why.
Verification
Cleaning is not finished until you verify it. Compare totals with the source, spot-check rows and confirm ranges make sense, for example no negative quantities.
Typical Assignments and How to Approach Them
The guide gives competencies only, so work types are described generally.
| Work type | What it tests | How to approach it |
|---|---|---|
| Spreadsheet cleaning tasks | Correct use of functions | Work on a copy and document each step |
| SQL queries for preparation | Selecting, filtering and transforming | Build the query in small steps and test each one |
| Verification write-up | Showing data is reliable | List checks done, results and any remaining limits |
Where Students Get Stuck
- Editing the original. Keep an untouched copy of the raw data.
- Silent changes. If you cannot say what changed, you cannot verify it.
- SQL syntax slips. Quotes, commas and clause order cause most errors.
- Hidden formats. Dates and numbers stored as text break formulas.
Study Tips for D467
- Create a cleaning checklist and reuse it on every dataset.
- Learn five core spreadsheet text and date functions well.
- Write SQL one clause at a time and run it often.
- Note row counts at each stage.
How We Help with D467
Send the task, sample data and your steps so far. A data tutor can explain functions, prepare an annotated example or review your approach. For the preceding spreadsheet skills, see our guide for D388 Fundamentals of Spreadsheets and Data Presentations.
GradeEssays is independent and not affiliated with WGU. Our work is a study and reference aid; you complete and submit your own work under WGU's academic integrity policy. We do not access portals or sit assessments. Orders are written from scratch, with free revisions within the scope of your original request and a full refund if late.
A Practical Study Plan for D467
Data preparation rewards habits more than speed. Build good habits in the first week and apply them to every later exercise.
- Learn the data. For each dataset, list fields, types and what one row represents.
- Spreadsheet toolkit. Practice TRIM, text splitting, date functions, lookups, duplicate removal and conditional formatting for outliers.
- SQL toolkit. Practice SELECT, WHERE, ORDER BY, CASE and basic functions for cleaning.
- Verify. After each clean, compare counts, totals and ranges with the raw copy.
Keep a change log in a separate sheet. It supports the verification competency and is the quickest way to explain your work to an instructor.
Self-Check Questions for D467
Apply these questions to every dataset you prepare.
- What does one row represent, and what type is each field?
- Which errors are present: duplicates, blanks, inconsistent labels, wrong types?
- What exactly did you change, and can you prove totals still agree with the source?
- Which SQL query produces the same cleaning as your spreadsheet steps?
- Which values look implausible, and how did you decide what to do?
Get Your D467 Data Prep Right
Share the task and what you tried. A data tutor prepares a worked example to learn from.
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Frequently Asked Questions
Exploring Data, a 3-unit term 3 course in WGU's BS in Supply Chain and Operations Management on preparing, cleaning and verifying data.
D468 Discovering Data.
Students may work towards the Google Data Analytics Professional Certificate and the WGU Business Analysis Certificate at the same time.
Spreadsheets and structured query language (SQL).
No. We tutor, prepare study examples and review your approach.
No. We are independent.