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Practical Data Analysis
This course studies the basic principles, features, technologies, methods, models, and tools of data analysis process. The possibilities of analytical platforms will be considered. The course provides for the tasks of analysis, processing, visualization, and interpretation in various subject areas using analytical platforms and tools.
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About course

The purpose of the course is to learn methods and technologies of practical data analysis, creating and evaluating data analysis models.
Course objectives are:
- formation of skills for choosing and using data analysis methods and tools to solve research problems.
- learn how to use the ETL process.
- perform different types of data analysis methods.
- learn using analytical platforms and tools to solve business problems.

Learning outcomes of the course
Students successfully completing the course will be able to:
- select, understand, and apply appropriate analytical tools and platforms of data analysis to solve business problems and to support managerial decision making.
- build models, evaluate the quality of the model and the resulting solutions.
- use software packages for data analysis.
- analyze and interpret output (graphs, tables, models, etc.), make decisions.

The instructor
Sembina Gulbakyt
Candidate of technical sciences, associate professor of "Information Systems" department of IITU
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