Overview

CSV and Tabular Data Course

Learn practical CSV and tabular data workflows: headers, delimiters, quoting, JSON conversion, flattening, and debugging.

This course teaches CSV and tabular data as developer exchange formats. CSV looks simple, but real files contain headers, quoted commas, embedded line breaks, inconsistent rows, locale-specific delimiters, and values that should not always be auto-typed.

You will learn how to inspect the shape of a table before converting it, how CSV maps to JSON objects or arrays, when to flatten nested JSON, and how to catch the common mistakes that break API fixtures and handoffs.

Who this course is for

  • Developers turning spreadsheet samples into API mocks or test fixtures
  • Backend and full-stack engineers exporting JSON data for QA, support, or product teams
  • Anyone debugging CSV from logs, admin panels, BI tools, and data imports

What you will learn

  1. CSV as a plain-text table format
  2. Header rows, delimiters, and row consistency
  3. Quoted fields with commas, quotes, and line breaks
  4. CSV → JSON workflows for API fixtures
  5. JSON → CSV workflows and nested-field flattening
  6. A practical debugging workflow for broken tabular data

Use the related CSV to JSON / JSON to CSV Converter while you read. The goal is not just to convert once, but to understand whether the converted shape is safe for your next workflow.

Start lesson 1