Cleaning Financial Data

A stock split shows up in raw data as a ninety percent crash. A holiday shows up as missing data or as yesterday repeated. This course teaches you to find these before they become a finding, and to fix them in a way anyone can audit.

₹499/- ₹0

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1,000 seats total 248 left

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Six things you will be able to do

Go past loading the file. Learn what breaks a financial series, and how to fix it without hiding the fix.

01 Profile before you touch itRow counts, ranges, gaps and types, checked before any analysis begins.
02 Adjust for corporate actionsSplits, bonuses and dividends, and the crash that never happened.
03 Handle missing data deliberatelyHoliday, halt or genuine gap, each one treated differently and on purpose.
04 Align dates and calendarsTime zones, settlement conventions and exchanges that trade on different days.
05 Investigate outliersWhich extreme values are errors and which are the market doing something real.
06 Log every decisionA cleaning script and a record, so the work is reproducible and reversible.

What changes after this course

You stop trusting a clean looking file and start interrogating it, then leaving behind a record of every decision you made to it.

A raw file profiled before use, with every defect identified and counted

1:10

Splits, holidays and duplicates handled so the series is genuinely continuous

A reproducible pipeline with checks, so the same file cleans the same way twice

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