TOP Data Science Courses for Advanced

The main objective of the course is to examine techniques for constructing a conceptual model of an application based on the use of templates, as well as the possibility of reusing developments made within the framework of object-oriented analysis. The course provides practical guidance on how to build a UML representation of a conceptual model and how to further transform the conceptual model into a design.

Immerse yourself in the field of Data Science and build a career as a data engineer. The online master's program "Data Engineering" prepares in-demand and highly paid specialists to work in teams of developers and analysts in a wide variety of areas: IT, banking, marketing, online retail, industry, telecom

Training. Do you constantly hear about data-driven solutions? Are you always running out of time to figure out what benefits data analysis can bring to your business? Come to the intensive “Data science for managers”: experienced DS and ML practitioners will tell you how business metrics and machine learning metrics are related.

Training. The program volume is 72 hours. This distance program is designed for anyone who wants to learn mathematical methods programming, as well as for engineering students, students specializing in the field applied mathematics.

Online master's degree in cooperation with Savings Education. Master the main tasks of a data scientist - data processing and analysis, training neural networks, creating new products and building mechanisms for optimizing business processes.

Professional retraining. Working with data. Certified program of the national project “Digital Economy”. Studying all areas of modern data analysis: from programming and basic mathematics to machine learning, applied statistics, working with big data and deep learning.

Biologically Inspired Cognitive Architectures (BICA) – This is a promising, actively developing direction at the intersection of artificial intelligence, biology and cognitive Sci. One evidence of this is the increased number of scientific publications, including special editions, as well as conferences and funded programs, one way or another related to this area.

The purpose of this course is to introduce students to the theory and practice of deep learning and neural networks in an interactive format. During the course you will be offered several practical tasks. The last assignment is the final practical project. Based on the results of the course, a certificate of completion will be issued, which provides benefits for admission to bachelor's and master's programs at the Faculty of Faculty of Physics and Technology of the Moscow Institute of Physics and Technology.

A profession of the future that can change the world! Develop programs, services and applications that will serve people. Programmers write code for software, analyze data, and train machines.

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