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Introduction to Data Cleaning and Preprocessing

Chapter 1: The Importance of Clean Data

What is Data Cleaning?

What is Data Preprocessing?

Common Sources of Dirty Data

Impact of Poor Data Quality

The Data Cleaning Workflow Overview

Quiz for Chapter 1

Chapter 2: Identifying and Handling Missing Data

What Are Missing Values?

Methods for Detecting Missing Data

Visualizing Missing Data Patterns

Strategy 1: Deleting Rows (Listwise Deletion)

Strategy 2: Deleting Columns

Strategy 3: Basic Imputation (Mean/Median/Mode)

Considerations for Choosing a Strategy

Handling Missing Data: Hands-on Practical

Quiz for Chapter 2

Chapter 3: Dealing with Duplicate Data

What Constitutes Duplicate Data?

Why Remove Duplicates?

Identifying Complete Duplicate Rows

Identifying Duplicates Based on Specific Columns

Removing Duplicate Rows

Handling Duplicates: Practice

Quiz for Chapter 3

Chapter 4: Correcting Data Types

Common Data Types in Datasets

Why Correct Data Types Matter

Identifying Incorrect Data Types

Converting to Numeric Types (Integer, Float)

Handling Errors During Numeric Conversion

Converting to Datetime Types

Converting to Categorical or String Types

Data Type Correction: Hands-on Practical

Quiz for Chapter 4

Chapter 5: Basic Data Formatting and Standardization

Importance of Consistent Formatting

Standardizing Text Case (Upper/Lower)

Removing Leading/Trailing Whitespace

Simple String Replacements

Basic Unit Conversion Example

Formatting Practice

Quiz for Chapter 5

Quiz
Beta

Chapter: The Importance of Clean Data

Test your understanding and practice the concepts from this chapter

Quiz Instructions

This quiz contains 10 questions to help you practice.
You need to score at least 70% to pass.
Attempts: Unlimited.
Your highest score will be kept.
Please attempt this quiz without assistance; however, feel free to refer to the chapter notes or use a code interpreter if needed.
This assessment is for your learning and understanding, It is not formally accredited (yet).

Question Format

The questions are designed to be engaging, focusing on understanding, application, and interpretation rather than rote memorization. Expect scenario-based problems that test your ability to apply what you've learned.

Attempts

Best scores and quiz attempts will appear.

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