Data Science

Course contents

* Data Science Basics
- Terms
- Data (Classic, Big, Attributes, ...)
- DS Problems
* Basic Statistics
- Measures of Central Tendency
- Measures of Dispersion
- Visualization
* Data Acquisition
- Measuring Chain
* Preprocessing
- Data Cleaning
- Data Integration
- Data Reduciton
- Data Transformation
* Classic DS Methods
- Association Analysis
- Classification

Department

Bachelor's program Industrial Engineering & Management