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Drive Your Career With Data Science

We are opening our sixth live and online classroom for those who want to develop themselves in Data Science with a strong start! According to Linkedin's "2020 Emerging Jobs" report, Data Science continues to be one of the professions in demand in recruitment. The Data Science discipline, which combines the rapidly increasing computing power of computers with statistics and mathematics applications, offers people working in many different sectors in the world and Turkey the ability to read data correctly and make decisions in line with the institution's goals.

Who Can Participate in the Program?

We designed the program at a level suitable for those who currently have engineering, basic sciences, or statistical background and want to improve themselves in data science and machine learning. In order to complete the applied exercises, it is necessary to have statistics and programming knowledge at the undergraduate level. A sufficient level of English is required to follow course materials and open-source content. Senior-level undergraduate students can also participate in the program. The program requires approximately 10-12 hours of study per week. This time includes 6 hours of live online lessons per week and the time required for tracking open-source content and self-learning applications (exercises, assignments, and projects) to be completed.

What Can You Do When You Complete the Program?

We designed the program in a format that combines a solid theoretical background with practical exercises.

You will learn about data modeling using analytical concepts, predictive models, and machine learning that form the backbone of Data Science. Furthermore, you will experience practical applications of real-life deployment of these models with data collected from various data sources in different sectors such as finance, information technologies, and production.

When / Where Will The Lessons Be Held?

We expect participants who have knowledge of algorithms and programming at the undergraduate level, but have not used Python before, to complete our preparation module, where they can learn Python between .... This module consists of hands-on exercises to be completed asynchronously with open source content and assistant support. If you have questions about Python preparations, you can contact us at

Our courses in the main modules will start on .... Live lectures will be held on the Zoom platform.

Application deadline: ....

** Participation in live classes is mandatory.

Monday 19:00 - 22:00
Wednesday 19:00 - 22:00

The participation fee for the program is ..., including VAT.

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For your questions and feedback, you can contact us at

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