ITonlinelearning Academy

Introduction

Learning Objectives

1.1 Quantitative Data: Numbers That Measure

1.2 Qualitative Data: Categories & Labels

1.3 Date, Time, & Boolean Data

1.4 Data Type Mismatches & Why They Matter

2.1 Structured Data: Rows, Columns, & Rules

2.2 Semi-Structured Data: Flexible but Organised

2.3 Unstructured Data: The 80% Problem

2.4 Choosing the Right Structure for the Job

3.1 CSV & Delimited Text Files

3.2 JSON & XML: Data Exchange Formats

3.3 Spreadsheet & Database Formats

3.4 When Formats Go Wrong: Encoding, Delimiters, & Corruption

4.1 How Organisations Store & Move Data

4.2 Reading a Data Dictionary

4.3 Your First Data Inspection

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