Mathematics for Data Science. Part 3. Optimization methods and data analysis algorithms - course RUB 32,490. from Specialist, training 40 academic hours, date of May 15, 2023.

Vadim Viktorovich graduated from the Russian State University for the Humanities in 2000 with a specialization in Informatics and Computer Science. A true professional in administration matters DBMS, automation of company business processes (ERP, CRM etc.), creating test cases and training employees.

Able to motivate and captivate. He is demanding of his listeners, always ready to clarify difficult points. Extensive experience working on real projects allows him to pay attention to those details that are usually overlooked by novice developers.

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.