Data Science

What is Data Science?

Data science combines statistics, programming and domain knowledge to build models that predict and explain. It is a premium skill in strong demand as companies turn data into decisions.

How to Learn Data Science

1. Build strong Python — pandas, NumPy and notebooks.
2. Learn statistics — the backbone of good models.
3. Study ML basics — regression to classification.
4. Practice on real datasets — Kaggle projects.
5. Communicate findings — insight over jargon.
6. Build a portfolio — end-to-end projects.

AI Tools You Will Use

• Python (pandas, scikit-learn) — the core stack.
• ChatGPT / Claude — code, explain and debug.
• Jupyter / Colab — experiment and share.
• Kaggle — datasets and practice.