Theory of Intelligence
10TH•Computer Science•Introduction To Data Science•Collecting Data

5.3 Collecting Data

Data collection methods, sources, data quality, and avoiding bias.

5.3 Collecting Data

Once we understand the problem and set clear goals, the next step in DSLC is to collect the required data. Data is like raw material, and we must gather the right kind of data before we can clean, store, or analyze it.

In Step 1, we asked questions like "Which school activities do students enjoy the most?" or "Why are students arriving late to school?"

Step 2 is about collecting information that can help us answer these questions. We will explore:

  1. Data collection methods
  2. Where to collect data from (sources)
  3. How to make sure it is useful and fair (data quality)

Discuss theoretical concepts, mathematical formulas, and architectural foundations.

Supports inline code with `backticks`
No comments yet. Be the first to start the discussion!