Business and Product Intelligence systems
Description: The stages of data processing, methods and tools of business and product analytics are studied, practical skills are acquired in solving experimental and theoretical problems in the field of business data analytics. The course is aimed at developing skills in analyzing large volumes of data to solve production problems and dissertation research problems.
Amount of credits: 5
Пререквизиты:
- Machine Learning and Data Analysis
Course Workload:
| Types of classes | hours |
|---|---|
| Lectures | 15 |
| Practical works | |
| Laboratory works | 30 |
| 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
- To familiarize with the basic concepts and principles of business analytics, study the stages of data processing, methods and tools of business and product analytics.
Learning outcome: knowledge and understanding
- know the basic concepts and principles of business analytics, the main tools for data analysis, key performance indicators, methods for analyzing processes and optimizing them based on analytical data.
Learning outcome: formation of judgments
- The ability to assess the quality, reliability and relevance of data, to present ideas, to argue and prove logically, the ability to draw conclusions and make informed decisions.
Learning outcome: communicative abilities
- Ability to clearly and structured describe the completed stages of work, the methods used and the results obtained, answer questions, and argue your position based on data.
Learning outcome: learning skills or learning abilities
- Ability to analyze various sources of information, ability to master new approaches, methods and tools used for business and product analytics.
