Big data analysis
Description: The course provides an opportunity to master the skills of extracting useful information from a large array of data: market trends, consumer and customer preferences, the relationship of processes and phenomena. The subject of the course is the study of data collection, analysis and visualization tools in order to form skills for solving real business problems. Mathematical methods of working with data are considered: building trends, regression models, etc.
Amount of credits: 5
Пререквизиты:
- Mathematics in Economics
Course Workload:
| Types of classes | hours |
|---|---|
| Lectures | 15 |
| Practical works | 30 |
| Laboratory works | |
| SAWTG (Student Autonomous Work under Teacher Guidance) | 30 |
| SAW (Student autonomous work) | 75 |
| Form of final control | Exam |
| Final assessment method |
Component: University component
Cycle: Base disciplines
