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Suppose you receive this dataset:

Employee

john smith

SARAH JONES

mike brown

DAVID WILSON

Task 1 — Remove extra spaces

=TRIM(A2)

Task 2 — Convert to proper case

=PROPER(TRIM(A2))

Task 3 — Count characters

=LEN(A2)

Task 4 — Convert to uppercase

=UPPER(A2)

Task 5 — Extract the first 3 characters

=LEFT(A2,3)

🏆 Key Lesson

Text functions aren't just about manipulating words.

For a Data Analyst, they're data-cleaning tools.

When you receive messy data, think:

Remove unwanted spaces → Standardize → Extract → Replace → Combine → Validate

For example:

=PROPER(TRIM(A2))

can turn:

" jOhN sMiTh "

into:

John Smith

That may look like a small task, but cleaning and standardizing data correctly is an important part of professional analytics.

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