Google Sheets
Google Sheets Data Entry Practice
Five hands-on Google Sheets exercises you can build yourself to practice real data entry tasks: validation, cleanup, filtering, and lookups.
Reading about spreadsheet features doesn't build the muscle memory that real data entry work requires — building small exercises yourself does. Each exercise below takes ten to twenty minutes, uses a blank Google Sheet you set up from scratch, and mirrors a task type that shows up in real jobs. Work through them in order; each one adds a skill the next one assumes you already have.
Before you start
Open a new blank spreadsheet at sheets.google.com. You won't need any template — part of the practice is building the structure yourself, which is closer to what a real task looks like than filling in a pre-made file.
Exercise 1: Manual entry with a header row
- 1
Create headers
In row 1, type: Name, Email, Phone, City, Signup Date.
- 2
Freeze the header row
View → Freeze → 1 row, so the labels stay visible as you scroll.
- 3
Enter 25 rows of realistic sample data
Make up plausible names, emails, and phone numbers. Use a consistent date format throughout, e.g. YYYY-MM-DD.
- 4
Check your work
Scroll the full range and confirm every row has all five fields filled and the date format never changes.
Expected outcome: a clean 25-row table with a frozen header and zero blank required cells. This is the baseline every later exercise builds on.
Exercise 2: Add data validation
- 1Add a sixth column called Status.
- 2Select the Status column cells for your 25 rows, then go to Data → Data validation.
- 3Set criteria to 'List of items' and enter: New, Contacted, Converted, Inactive.
- 4Apply it, then fill in a status for each row using only the dropdown — don't type free text.
- 5Try typing an invalid value directly into one cell and observe the warning that appears.
Expected outcome: every Status cell is filled via dropdown, and you've seen firsthand what an invalid entry warning looks like — useful for recognizing it in a real employer's file later.
Exercise 3: Clean up deliberately messy data
Duplicate your sheet as a new tab. In the copy, deliberately introduce messiness: change some emails to ALL CAPS, add extra spaces before some names, duplicate three rows entirely, and leave two Phone cells blank.
- 1
Fix capitalization
Use =LOWER(A2) in a helper column to normalize emails, then paste the results back as values with Ctrl/Cmd+Shift+V.
- 2
Trim extra spaces
Use =TRIM(A2) the same way on the Name column.
- 3
Remove duplicates
Select your range and use Data → Data cleanup → Remove duplicates.
- 4
Fill or flag blanks
For the two blank Phone cells, either research a plausible replacement approach or mark them clearly, e.g. 'MISSING', so they aren't mistaken for complete records.
Ready to get started?
If you are detail-oriented and comfortable working online, you can submit an application and see what is available.
Apply NowExercise 4: Filter views and sorting
- 1On your cleaned tab, go to Data → Filter views → Create new filter view.
- 2Filter the Status column to show only 'New' and 'Contacted' rows.
- 3Sort the filtered results by Signup Date, oldest first.
- 4Close the filter view and confirm the underlying data and order are unchanged for anyone else who might open the sheet.
Expected outcome: you can produce a narrowed, sorted view of the data without permanently altering the shared sheet — the core benefit of filter views in collaborative work.
Exercise 5: A simple QUERY summary
In a new tab, use QUERY to build a one-line summary of your practice data without touching the original rows.
- Try: =QUERY(Sheet1!A2:F26, "select F, count(F) group by F", 0) to count rows per status.
- Then try: =QUERY(Sheet1!A2:F26, "select D, count(D) group by D order by count(D) desc", 0) to see which city appears most.
- Adjust the range references to match your actual tab and column layout.
Expected outcome: a small summary table that updates automatically if you change the source data — a preview of how QUERY is used for reporting on top of raw entry work.
Repeat with larger data
Once these feel easy, repeat the exercises with 200+ rows of sample data (you can generate placeholder names and emails online) to practice at a volume closer to real assignments.
Turning practice into a portfolio piece
Keep the finished sheet from Exercise 3 or 5 as a small, presentable sample of your cleanup and reporting skills. A short note describing what messiness you introduced and how you fixed it turns a practice exercise into something you can reference when discussing your experience, even without paid work history.
Frequently asked questions
- Do I need a template to practice Google Sheets data entry?
- No. Building the structure yourself — headers, validation, formulas — is part of the practice and mirrors how real tasks often start from a blank or lightly structured file.
- How much practice data do I need for these exercises?
- Twenty to thirty rows is enough to learn each feature. Once comfortable, repeat with a few hundred rows to build speed and confidence at a more realistic volume.
- Can I use these exercises to build a portfolio?
- Yes. Keep a cleaned, well-organized sample sheet along with a short note on what you did, and reference it when discussing your skills even if you don't have paid experience yet.
- Is QUERY necessary for entry-level data entry roles?
- Not usually required, but being able to build a simple one is a strong differentiator and useful once you move toward reporting-adjacent tasks.
Sources & references
About this article
Published August 25, 2026 · Last reviewed August 25, 2026. Read our Editorial Policy and Disclosure.
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