Data Analytics

This course is very suitable for anyone who has technical base knowledge and is working on professional development in the field of business analytics, data analysis. Preference will be given to students familiar with computer science. The Data Analytics course is integrated into the modern world of data analysis and fully prepares the student for market challenges for the next 5 years. Everyone who successfully completes the program will receive the necessary tools to enter the world of information technology. As a professional in the field of business analytics, he will be able to analyze a large amount of data and apply their results in business.

Application to the program is currently not active
Start date



3 months / 300 hours

Group size

25 students


I, III, V 18:30-21:30

Admission requirements

Readiness for intensive training

Language skills

Knowledge of English at least Intermediate level


To have a personal computer or a laptop


18 years and older

Upon the course completion you will::

Advanced knowledge in database programmingəsi

Will be able to model, combine and define the form of data presentation

Will know how to use tools for building and applying dynamic dashboards

Deep understanding of data warehouse methodology and ETL support

Knowledge of professional reporting approaches PowerBI, Tableau, etc

All the necessary skills and knowledge of Business Analytics for their successful implementation in modern IT projects


Data Analytics

Number of modules

The 1st module introduces us to the concept of databases and the popular language SQL.

Using SQL, we will learn how to extract, insert and update data in database tables. Students will also learn to combine data into several tables, sort and group them by topic.

At the end of the introductory module, the student will learn how to store data and manipulate it using SQL at will.

We will delve into the world of SQL, study its advanced features and apply this knowledge to build data integration processes, as well as to create our data warehouse application. To create an app, we also consider SQL functions, procedures, and various analytic functions as analytic tools.

After completing the module, each student will be able to create and maintain “alive”, “breathing” and comprehensive application for storing data.

Using the infrastructure created in the previous module, we will learn how to extract and visualize data using the reporting tools PowerBI, Tableau, etc.

More advanced analytical methods will also be studied:

Data modeling

  • A / B testing
  • Business alerts

· Advanced functions of reporting tools.

Combining gained knowledge during 3 modules, each student will create and present the final project based on the business customer requirements (announced in advance).

The final project will reflect both technical and personal skills that a student has acquired on the course.

During the preparation for the final defense, teachers and mentors will work with students to help not only present the project correctly but also will give hints and instructions on how to make a presentation of the results in plain language.