Description

• Module 1. Introduction to Data Collection

  • Why businesses and researchers need their own datasets.

  • Overview of data sources: open, closed, commercial.

• Module 2. Core Search Methods

  • Google/Scholar search operators.

  • Catalogs, open government data, repositories.

• Module 3. Validating Data Quality

  • Checking sources for reliability and accuracy.

  • Cross-validation techniques.

• Module 4. Building a Data Collection Strategy

  • How to formulate search queries.

  • Structuring results effectively.

• Module 5. Practical Project

  • Step-by-step project: collecting market data (example: “online education”).

  • Final checklist: 10 steps to your first dataset.

Format:

• 📘 Detailed PDF guide (50+ pages).

• 📝 Practical checklists.

• 📂 Links to recommended data libraries and repositories.

• 🎧 Audio version of key sections for quick review.