Data Science

 Prerequisite: Basic knowledge of Python Language 

Total No of Hours: 15

This course includes:

1. INTRODUCTION TO DATA SCIENCE- Definition of data science, importance, and basic applications

2. MACHINE LEAARNING ALGORITHMS- Using mathematical models or algorithms to recognize patterns, classifications, or predictions about a dataset

3. ARTIFICIAL INTELLIGENCE- Creation of algorithms to create a machine capable of problem-solving capabilities like a human

4. DATA VISUALIZATION- Data representation in form of a chart, diagram, plot, etc.

5. DATA ANALYSIS- Formatting or modeling data to discover insights using algorithms

6. CODING (Python, SQL)- Basic coding to organize unstructured data

7. OPTAMIZATION TECHNIQUES- Optimization of software that is used in data extraction to gain the maximum output with limited resources

8. BIG DATA- Managing enormous data sets to make extraction and data analysis easier