We come to how important an individual

The world and understand what is good and what is bad. In the leading technical universities of the world, such as Caltech and MIT, humanities occupy up to 50% of the study time in technical specialties. At the same time, most of the existing online schools say that a student’s background is not important: come to study and, regardless of the basic level of training, you will have the same knowlge and skills as a graduate of the ITMO Faculty of Appli Mathematics. To get as many students as possible into the school, but they often create unrealistically high expectations among potential students.

The purpose of such marketing claims is clear

For example the idea that in a few months you can New Zealand Phone Numbers List master the profession of Data Scientist from scratch and immiately get a high-paying job. But this specialty requires deep knowlge and a serious level of training in the field of mathematics. For example, in SkillFactory on the Data Science course, we immerse students in the industry and its specifics for a long time, give tools and basic things, we teach the necessary disciplines – we recently launch an updat course, develop jointly with an academician of the Russian Academy of Sciences from Moscow State University, which lasts 25 months and includes a block with in-depth mathematics.

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The easiest way in IT is to start

Since a fundamental ucation is requir to work in the field BT Lists of Data Science, mathematics is the basic discipline here. Here ucational trajectory is for students: an ucational product should be creat taking into account differences in the level of basic training. As a tester and gradually build up your skills. Thus, segmentation according to the levels of initial training of students is necessary. Junes that graduate from online schools are also divid into categories. In our experience.

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