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Data Cleaning and Pre-processing

Master essential data cleaning and preprocessing techniques using Python and Pandas. Learn to handle missing values, remove duplicates, fix inconsistent data, detect outliers, and transform raw datasets into structured, analysis-ready data. Explore feature scaling, encoding, and preprocessing techniques through practical exercises and real-world datasets to prepare data for accurate analysis and Machine Learning models.

4.5
|5h 41m|10 lessons
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Data Cleaning and Pre-processing course

What's included

10

Lessons

5h 41m

Duration

Certificate

What you'll learn

Skills and outcomes you'll walk away with

Audit a Dataset and Define Its Contract

Standardize Text and Categories

Parse Numbers and Dates Without Losing Evidence

Choose a Missing-Value Policy

Resolve Duplicate Records and Conflicting Keys

Validate Ranges, Units, and Outliers

Course curriculum

10 lessons • 5h 41m total

Data Cleaning and Pre-processing10 lessons
1

Audit a Dataset and Define Its Contract

37m
2

Standardize Text and Categories

36m
3

Parse Numbers and Dates Without Losing Evidence

28m
4

Choose a Missing-Value Policy

33m
5

Resolve Duplicate Records and Conflicting Keys

38m
6

Validate Ranges, Units, and Outliers

30m
7

Join Reference Data Without Multiplying Rows

31m
8

Protect Time Meaning in Cleaning

38m
9

Build a Reusable Cleaning Function and Quality Checks

29m
10

Cleaning Capstone: Reconcile a Messy Orders Batch

41m

Certification path

Certification exam

30 multiple-choice questions • 70% passing score required

Verified certificate

Earn a verified PDF certificate with unique verification ID upon completion • ₹299

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