Data Analysis and Business Analytics

Nurekenova Elvira Sobetollaevna

The instructor profile

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