Big Data: theory and application

Socio-cultural program of extracurricular activities and networking events are included*:

• Online Interactive Campus Tour; 
• Online broadcasting of excursion to the Hermitage museum;
• Online Pub Quiz.

*All of the listed above activities will to take place but in case any of those will have to be cancelled, an alternative event will be offered to participants.

• Good command of English. All classes and extracurricular activities are carried out in English. Knowledge of the Russian language is not required. 
• Applicants are expected to have at least 1 year of University level studies. 
• Linear algebra: vectors, matrices, and their products, derivative, 
• Probability theory: random events, mathematical expectation, variance. 
• Basic programming knowledge: Python/R, SOLID, SQL, git, docker

1. Laptop and fast Internet connection 
2. IDE JetBrains Pycharm CE, Anaconda 3

Introduction to Data science

• Glossary of big data 
• Types of data 
• Structured data 
• Unstructured data 
• Data in natural language 
• Machine data

Working with big data

• Data collection 
• Data preparation 
• Data research 
• Modeling and building models

A system for collecting, processing and storing big data

• SQL databases 
• NoSQL databases 
• Tools for working with big data 
• Highly loaded systems 
• Big data processing in practice

Machine Learning

• Data preprocessing 
• Statistical data analysis 
• Building models 
• Neural networks

Project work: Development of software for working with big data