Skip to contentSkip to main content
Get Useful Answers from AI — a free microcourse with a reusable templateStart learning
TechlyUp
Excel, Spreadsheets, Data & Reporting

Spot Missing Data, Duplicates and Suspicious Numbers

Spreadsheet quality-check sheet aur issues ka documented log.

Not scheduled yet — no date, time or fee fixed. The most-voted topic is hosted next.

Get mentorship on this topic

1:1 or squad batch · join the community or channel

Khushbu

Suggested mentor

Khushbu

Operations · Workflow Automation · automatewithkhushbu.com

About mentor & skills Visit site
TechlyUpEXCEL, SPREADSHEETS, DATA & REPORTINGSpot MissingData, Duplicatesand SuspiciousNumbersFREE WEBINAR TOPIC · VOTE
Khushbu, Operations · Workflow Automation · automatewithkhushbu.com

AutomateWithKhushbu

About the suggested mentor

Khushbu

Operations · Workflow Automation · automatewithkhushbu.com

Khushbu focuses on making work understandable before automating it. AutomateWithKhushbu explores workflow mapping, clear responsibilities, selective no-code automation and practical handover, with human approval where a decision needs judgment.

Skills & expertise

  • Workflow Mapping
  • No-code Automation
  • n8n
  • Zapier & Make
  • Airtable & Notion
  • SOPs & Human Approvals

A suggested match for this topic. The trainer and session details will be confirmed when the webinar is scheduled.

Learn this topic with a mentor

Don't want to wait for the webinar? Pick how you'd like help. Nothing is paid now — you see the fee before anything is booked.

  • Bring your own work — code, campaign, report or plan
  • Mentor matched to this topic
  • Time, format and fee confirmed by email first
1:1 mentorship for Spot Missing Data, Duplicates and Suspicious Numbers
Ask on WhatsApp instead

See typical costs on mentorship pricing.

What this session would cover

Proposed outline — the mentor finalises the agenda once this topic is scheduled.

  1. 1Finding blanks and incomplete records
  2. 2Detecting duplicates, including near-duplicates
  3. 3Spotting outliers and suspicious values
  4. 4Using conditional formatting and formulas
  5. 5Deciding how to handle each issue
  6. 6Documenting data quality problems

Who it's for

  • • Anyone working with spreadsheet data
  • • Analysts and finance staff

You'd leave with

  • A data quality checklist
  • Detection techniques
  • A handling guide