Data Analysis and Business Analytics
Description: This course covers methods for analyzing big data, including machine learning and predictive analytics. Doctoral students learn data visualization tools to present the results of their analysis. Approaches to data collection, cleaning, and interpretation are explored, as well as their application for strategic planning and business process optimization. Special attention is given to the use of data for decision-making in conditions of uncertainty
Amount of credits: 5
Пререквизиты:
- Car production technology
Course Workload:
Types of classes | hours |
---|---|
Lectures | 15 |
Practical works | 30 |
Laboratory works | |
SAWTG (Student Autonomous Work under Teacher Guidance) | 75 |
SAW (Student autonomous work) | 30 |
Form of final control | Exam |
Final assessment method |
Component: Component by selection
Cycle: Base disciplines
Goal
- Develop data analysis skills to support management decisions