Introduction to Data Science

Data science is a multidisciplinary approach combining mathematics, statistics, artificial intelligence, and computer engineering.

Which of the following is an example of unstructured data?

Which of the following sources does data science utilize?

What is the purpose of data science?

What are recommender systems used for?

How is data science applied in healthcare?

Data

Data can be numbers, text, images, videos, audio and more.
Data can be structured or unstructured
Examples of data include:
- Numbers: 10, 25
- Text: Kharagpur, 10CS3002, [email protected]
- Location: 100.0, 0.0, 250.0, 150.0, 220.0, 300.0, 110.0
Data can be organized by time, location or category

Data Science

Data science is the process of extracting meaningful insights from data.
Its goal is to use data to make better business decisions.
Combines principles from mathematics, statistics, artificial intelligence, and computer engineering.
Data scientists are obsessed with data, and focus on:
- Finding and acquiring data
- Cleaning and transforming data
- Understanding relationships in data
- Delivering value from data
- Visualizing results

Sources of Data

Sensors
Internet
Market
Social Media
Medical Data
Business
University
Digital Pictures and Videos

Applications of Data Science

E-Commerce:
- Amazon and Flipkart use data science to provide personalized recommendations
Recommender Systems:
- Used to predict user preferences, recommend movies, products, or services
Healthcare:
- Used for detecting tumors, discovering drugs, and analyzing medical images.

This quiz covers the essential concepts of data and data science, including data types, sources, and its applications. Test your understanding of how data is used to extract insights and inform decisions across various fields. Perfect for beginners interested in the world of data analysis.