
DataGroup
School for teaching high-demand IT specialties
5 Courses • Total 35 Quotas • School rating: 8
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Astana, st. Sarayshyk 11/1
About school
DataGroup IT school teaches the most popular areas: Data Science, AI Engineering, Data Analytics, Fullstack and Flutter development. Teachers with practical and academic experience impart knowledge through simple explanations and real tasks, and the methodology is based on the best foreign and local practices. Already during the training, students collect a strong portfolio of 3 or more projects and create a competitive resume that stands out among applicants. After each course, we support graduates in finding a job: we have HR partners, access to IT vacancies and career support. 76% of our students are already working in a new profession, and the student satisfaction level (NPS) consistently exceeds 80%. Each student receives mentor support, feedback and studies in a convenient format - online and offline. Studying with us is a path to a profession, real results and confidence in the future.
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Effective teaching methods
The training is based on the principle of “theory through practice”: each topic is accompanied by exercises, mini-projects and tasks that are close to real tasks in IT companies. This helps to better assimilate the material and apply it in work
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Current syllabuses that meet market requirements
The course program is regularly updated taking into account industry trends. The syllabuses contain only popular technologies, tools, and skills that are actually used in modern teams.
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Mentors with practical experience
The courses are taught by specialists who work in the IT field themselves: developers, analysts, UX designers, DevOps engineers. They not only teach, but also share their experience, conduct case studies and answer students' questions.
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Constant feedback and support
Throughout the training, students receive individual comments from mentors, participate in error analysis, and can ask questions. This helps not only to pass the course, but to really understand the material and fill gaps in knowledge
DataGroup