In our curriculum, the initial placement test is conducted to assess logical and critical thinking skills, as well as English language proficiency.

There are intensive courses available in the Data Engineering, Data Analyst, and Cloud Data Technologies specialties.

During the Data Engineering course, students are taught the design, creation, management, and automation of data infrastructure.

During the Data Analytics course, students are taught to prepare reports from data collections in order to make informed decisions aimed at optimizing business processes.

Prospective students enrolling in our courses are not required to have a certificate verifying their English language proficiency, but a minimum English language proficiency level of at least upper-intermediate (equivalent to IELTS 5.5 or CEFR B2) is necessary. Candidates' English language proficiency level is assessed during the initial placement test, which determines their eligibility to study in our program.

At our center, the age range is from 16 to 35 years old. Students who are 15 years old or older, up to the age of 35, can enroll and study based on their conversational abilities.

The purpose of BI is to support better business decision-making. Essentially, BI systems allow a company to gather, store, access, and analyze corporate data to aid in decision-making. These systems include data warehouses, dashboards, reports, data discovery tools, and other tools aimed at optimizing the decision-making process. BI can help businesses to understand trends, improve efficiency, and reduce costs by making data-driven decisions.

The Academy may assist students in finding employment by offering support, but it does not impose an obligation on itself to secure employment for the students. Any assistance provided in this regard is at the discretion of the Academy and may be subject to fees. As of today, 99% of our graduates have been successfully employed.