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Python for data science

Module 4 · Cleaning messy datasets

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Python for data science · Module 4

Cleaning messy datasets

07:24
12:30

Transcript · auto-synced

…so instead of dropping the row, we can fill the missing value. The fillna method lets you replace NaN with the mean, median, or a fixed value — and which one you pick depends on your data…

Lesson 3 of 6 · 4 skill points on completion
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Watching lesson with you

Why use median instead of mean here?
Because your dataset has outliers — a few salaries above ₹1 Cr pull the mean way up. The median ignores extremes, so it's a safer fill value for skewed data.
Instructor covers this at 05:48
Explain simpler Quiz me Show example

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Compliance essentials · Module 2

Workplace safety walkthrough

SCORM 1.2 · Storyline
MenuSlide 12 of 18 · Fire response quiz
A fire starts at an electrical panel. What do you do first?

Prev
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SCORM connected Attempt 2 · last score 60% Pass mark 80% Tutor sees interaction data
Tutor context sources: SCORM interactions · xAPI statements · source slides uploaded by instructor · safety policy doc
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Quiz active
I noticed you picked "spray water" on your first attempt — same slip as before. Want a hint before retrying?
Yes, why is water wrong?
Water conducts electricity — on a live panel it can electrocute you and spread the fault. Think about what makes the fire "electrical", and what removes that ingredient.
Safety policy · section 3.2
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RK
Rohan K

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PM
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RK
Why does dropna() remove my whole row?

Rohan K · Python for data science · 14 replies · 2h ago

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Feedback wanted on my checkout wireframe

Priya M · UX fundamentals · 6 replies · 5h ago

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Live session recording is now available

Instructor · Marketing analytics · pinned · 1d ago

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Study group for module 4 quiz?

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Module 4 quiz fails 38% of attempts — top tutor question: "mean vs median". Consider adding a worked example.

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Course: Compliance essentials Team: All
LearnerTeamProgressScoreStatus
Aanya SharmaEngineering92%Complete
Vikram TiwariSales—In progress
Meera IyerWarehouse60%Failed quiz
Dev JoshiWarehouse—Not started

Showing 4 of 312 learners · SCORM scores synced from package data

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Group: All Role: All Status: Active
NameGroupRoleLast activeStatus
ASAanya Sharma
aanya@acme.comEngineeringLearnerTodayActive
RKRohan Kulkarni
rohan@acme.comEngineeringInstructorYesterdayActive
MIMeera Iyer
meera@acme.comWarehouseLearner21 days agoInactive
DJDev Joshi
dev@acme.comWarehouseLearner3 days agoInvited

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Compliance essentials SCORM 1,418 64% Published
safety_walkthrough_v3.zip · 48 MB SCORM 1.2 · Storyline 360 Pass mark 80% Tutor sources: 2 docs
v3 · live · May 28 v2 · Mar 12 v1 · Jan 06
Python for data scienceVideo41244%Published
Automation with PythonMixed——In review

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Jun 12, 10:42Meera Iyer completed Workplace safety · score 85% · SCORM record stored
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Jun 11, 16:03Admin R. Kulkarni updated pass mark 75% → 80% · Workplace safety v3

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