Page 213 - AI Ver 1.0 Class 10
P. 213
UNIT 4
DATA SCIENCE
Learning Outcomes
• What is Data Science? • Applications of Data Science
• Revisiting AI Project Cycle • Data Collection
• Python for Data Science • Data Access in Python
• Statistical Learning with Python • Data Visualisation in Python
• Personality Prediction • Understanding K-Nearest Neighbour Model (K-NN)
Data plays a very important role in Artificial Intelligence. This structured data when given to the AI model will
make the system intelligent. Depending on the type of data given to an AI system it is classified into three
important Domains:
• Data Science
• Computer Vision
• Natural Language Processing
Let us learn about data science domain in detail.
What is Data Science?
Data Science is the process of using the skills of programming, mathematics and statistics together to find
meaningful information from the given data. It is a technology that does the analysis of data to create impactful
solutions from the given data or to predict outcomes for a problem statement. The impact can be in the form
of insights, data products or in the form of product recommendations for the company. Data Science is used to
solve real life problems using data.
Before we go into the details of Data Science let us first experience it through a game.
Data Science 211

