Data Science · Chapter 1 of 43

What is Data Science?

DATA SCIENCE combines statistics, programming and domain knowledge to turn raw data into decisions. A data scientist collects data, cleans it, explores it, models it, and communicates findings.

It sits at the intersection of maths, computer science, and business understanding.

Example 1 (python)

# The data science workflow
# 1. Ask a question
# 2. Get data
# 3. Clean & explore
# 4. Model
# 5. Communicate

Every project follows roughly this loop.

Example 2 (python)

# Tools you'll meet: Python, pandas, NumPy, matplotlib, scikit-learn, SQL

The core Python data stack.

Key points

Combines stats, code and domain knowledge.
Turns data into decisions.
80% cleaning, 20% modelling.
Communication is as important as the model.

💡 Note: Data Science is not just ML — reporting, dashboards and SQL are a huge part of the day-to-day job.

What is Data Science?

Key points

📝 Quick Quiz