The Tech Orda program plays a key role in the training of IT specialists in the country, providing students with the opportunity to receive high-quality education and practical skills that are in demand in the labor market.

In a rapidly changing technological landscape , education and training of specialists are becoming a key element of successful entry into the labor market. However, many schools and academies miss one important factor that directly affects the success of programs — the selection of participants. Our The Data Science Academy, one of the first in the market of Kazakhstan, has more than ten years of experience in the field of training data analysis specialists, and we are confident that it is the careful selection of students and the high-quality learning process that determine the success of educational programs.

Turning selection into a science

At first glance, it may seem that the selection of students is just a stage of filling out questionnaires and formalities, but the reality is that every successful student goes through a carefully designed selection process. This process is designed in such a way as to identify those who are really able to master complex disciplines and become a sought-after specialist.

At the Data Science Academy, we pay great attention to how this selection takes place. Our programs are aimed at undergraduate students of technical universities who are aimed at finding employment in leading companies Kazakhstan, such as Kaspi, Halyk Bank, Freedom Holding and BCC. We are co—organizers of programs such as Kaspi Lab and Freedom Data Lab, and annually help more than 50 specialists take the first step into their careers. At the moment, training is also being conducted under the TechOrda program, aimed at training highly qualified specialists in demand in the labor market.

Our academy has a three-stage selection process, and it's not just filtering questionnaires. The first stage is the analysis of the resume and questionnaire — plays a critical role. Out of more than 700 applications this year, we have admitted only 345 candidates to the next stage using our internal AI platform. This tool significantly improves the accuracy and transparency of the selection, minimizing the influence of the human factor and increasing the objectivity of the process.

The technologies behind the process

At the second stage, the remaining candidates are tested for basic skills and soft skills. But this is not just an online test. Our proprietary platform, developed by the Data Science Academy team, can simultaneously process more than 10,000 tests, ensuring high speed and efficiency of the process. Here we also use anti-cheating algorithms, which allows us to guarantee the objectivity of the results.

The tasks for the tests are compiled by specialists from the business sector and the academic environment, which allows us to evaluate not only theoretical knowledge, but also applied skills necessary to work in real projects.

After this stage, we left 158 participants for the final round — personal interviews. During the interviews, our four-person team evaluates not only technical skills, but also motivation, learning ability and teamwork. It took us three weeks to complete this process , and the result was worth it — the selected candidates demonstrated a high potential for successful completion of the program.

Educational innovations and technologies

However, the selection process is just the beginning. After students pass this filter, they get access to our educational portal, where all training materials, assignments, and the opportunity to communicate with teachers and classmates are collected in their personal account. We are creating an infrastructure that helps each student monitor their progress and respond promptly to problems.

The future of educational programs

The experience of our academy shows that high-quality selection of participants and careful management of the learning process become the cornerstone of successful educational programs. Not only their personal success, but also the success of the entire program depends on how accurately we can select suitable candidates .

In the next article, we will explain how we maintain student engagement throughout the program, and share methods that help keep student interest at a high level. We believe that the future of educational programs lies with technology and accurate analytics, and today we are ready to share our experience with other schools and academies that strive for high—quality education and optimization of business processes.

This material was written as a guide for educational institutions that seek to improve the student selection process and improve the quality of educational programs using modern technologies.

#Tech Orda 2024 #Astana Hub #Data Science Academy