Introduction to Data Science
Learning Objectives
Python programming prerequisite
Data Science
Data Science application areas:
Data and Information
Data Science
Example
Data
Information
Raw Data and Information
Information for Further Processing
Differences between data and information
Knowledge
The Data - Information - Knowledge pyramid
Differences between information and knowledge
Data Science versus Business Intelligence
Business Intelligence
Differences between Data Science and Business Intelligence
Data Science and Artificial Intelligence
Artificial Intelligence (AI)
Corporate Digital Factory Department
Data Science Life Cycle
The most common types of data analysis
Problem Definition and Formulation
Problem definition and formulation
Data Collection
The most common data storage formats
Data Preparation and Cleaning
Data Cleaning
Exploratory Data Analysis
Exploratory data analysis
Data Visualization