Course with Esperanza

Esperanza — Data Cleaning in Python: The Friday Number

Data cleaning in Python, taught 1:1 by a tutor that argues the opposite side until your reasoning holds. Five sessions on a 40,000-row export with merged headers, four date formats and duplicate customers, ending with the number and every assumption written down.

What you’ll master — Outcomes you can use

  1. I produce the number plus a written list of every assumption behind it

Your tutor

A senior analyst who has cleaned payroll, CRM and clinical exports for fifteen years and been audited on them.

Patient · Sceptical · Blunt

The plan — What’s inside

  1. Profile Before You Touch Anything
  2. Headers and Types
  3. Dates and Time Zones
  4. Duplicates and Fuzzy Names
  5. Missing Values and What You Tell the Stakeholder

5 parts

Questions about this course

How do I clean a messy CSV in Python without breaking the numbers?

Data cleaning in Python, taught 1:1 by a tutor that argues the opposite side until your reasoning holds. Five sessions on a 40,000-row export with merged headers, four date formats and duplicate customers, ending with the number and every assumption written down.

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