Orientation to Computing — II

Unit 1: Data Science & Big Data

From raw data to actionable dashboards — master the data science lifecycle, Big Data tools, and start earning by building real dashboards for Indian businesses.

⏱️ Time to Complete: 8–10 hours | 💰 Earning Potential: ₹5,000–₹15,000/month | 📝 30 MCQs (Bloom's Mapped)

💼 Jobs this unlocks: Data Analyst (₹4–6 LPA) | Junior Data Scientist (₹6–10 LPA) | MIS Executive (₹3–5 LPA)

Section A

Opening Hook — The Data Behind India's Digital Revolution

🏢 How Zomato Knows What You'll Order Before You Do

Every time you open Zomato, a complex data engine fires up. It analyses your past orders, time of day, weather in your city, trending restaurants nearby, and even how long you browse before ordering. This isn't magic — it's data science. Zomato processes over 2 million orders per day across 500+ Indian cities. Their recommendation engine — powered by Big Data analytics — increases order conversion by 35%.

Behind the scenes, teams of data analysts at Zomato's Gurugram HQ use tools like Hadoop, Spark, Tableau, and Python to process terabytes of data daily. They predict delivery times within 2-minute accuracy, optimise delivery partner routes, and decide which restaurant banner you see first.

What if YOU had built this? What if you could take raw data — messy, unstructured, massive — and turn it into insights that drive a ₹10,000 crore business? That's exactly what this chapter teaches you.

🇮🇳 Zomato🇮🇳 Flipkart🇮🇳 Reliance Jio🇮🇳 Paytm🇮🇳 Swiggy🇮🇳 UIDAI (Aadhaar)

India generates 20% of the world's data but has only 5% of the world's data scientists. This means massive demand and fewer competitors. A data-literate student in India has an extraordinary career advantage right now. The Indian data analytics market is expected to reach $118 billion by 2030 (NASSCOM, 2024).

Section B

Learning Outcomes — Bloom's Taxonomy Mapped

Bloom's Level	Learning Outcome
🔵 Remember	List the 7 stages of the data science lifecycle and define Volume, Velocity, and Variety
🔵 Understand	Explain how Hadoop's HDFS and MapReduce work together to process Big Data, using Indian examples
🟢 Apply	Build a data dashboard in Google Sheets using real Indian census data with charts and filters
🟢 Analyze	Compare Hadoop vs Spark vs cloud-based analytics and determine which suits different Indian business scenarios
🟠 Evaluate	Assess the data privacy and ethical challenges in India's Aadhaar system and propose safeguards
🟠 Create	Design a complete data pipeline proposal for a local Indian business, from data collection to dashboard delivery