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.

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
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
Join Reference Data Without Multiplying Rows
Protect Time Meaning in Cleaning
Build a Reusable Cleaning Function and Quality Checks
Cleaning Capstone: Reconcile a Messy Orders Batch
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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