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Alternative track - free course from the School of Data Analysis, training 3 semesters, Date November 30, 2023.
Miscellaneous / / December 03, 2023
The same program from leading experts in the IT industry
What is ShAD
The two-year Yandex program appeared in 2007 and became the first place in Russia to teach data analysis. ShAD courses formed the basis of master's programs at large universities such as HSE and MIPT.
1. Flexible program for those who want to explore machine learning and work in the IT industry
2. Author's courses from Russian and foreign scientists and specialists
3. Homework close to real tasks in IT practice
4. A diploma that is recognized not only in Russia, but also in large foreign companies
The main thing about ShAD
Language of instruction: Russian and English
How long does it last: 2 years
Submission of applications for admission: April - May, 2022
When does school start: September, 2022
Load: 30 hours/week
When: Evening, 3 times/week
Cost: Free*
For whom: For everyone who passes the entrance examination
Selected areas of higher mathematics in the context of Data Science with an emphasis on problem solving. For the strong in spirit.
Goal of the course: to master the main sections of mathematical analysis and linear algebra necessary for successful application in the field of Data Science. The course is recommended for beginners in the field of Data Science. Upon completion of the course, you will be able to use the acquired knowledge in mathematical analysis and linear algebra to start in this field.
Data science includes a wide range of approaches and methods for collecting, processing, analyzing and visualizing data sets of any size. A separate practically important area of this science is working with big data using new principles mathematical and computational modeling, when classical methods stop working due to their impossibility scaling. This course is designed to help the student learn the basics of the subject area through formulation and solving typical problems that a data science researcher may encounter in his or her work. To teach the student to solve such problems, the authors of the course provide the student with the necessary theoretical minimum and show how to use the tool base in practice.
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