St.Petersburg, Russia

Big Data: Theory and Application

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


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

Online format:

- Online Pub Quiz;
- Online Interactive Tour to SPbPU Museum;
- Online broadcasting of excursion to the Hermitage museum;

On-site format:

- Boat city tour for students to get acquainted with the beauty of the city;
- Excursion to the Hermitage, one of the world’s largest and oldest museums of fine art;
- Pub Quiz in the city center of St. Petersburg;
- Excursion to Pushkin, former tzar summer residence famous for its palace and park ensemble. Students will visit the outstanding Catherine Palace with glorious Amber room (optional, for extra price);
- Excursion to Peterhof palace-ensemble with picturesque gardens, a countless number of fountains and giant golden statues (optional, for extra price)
*All of the listed above activities are planned to take place but in case any of those will have to be cancelled, an alternative event will be offered to participants.

Course leader

Professors and lecturers

Vyacheslav Potekhin, Associate Professor, PhD.
Anton Alekseev, PhD, researcher
Daniil Lyadsky, PhD, researcher
Vladislav Efremov, PhD, researcher

Target group

Entrance requirements

- Good command of English. All classes and extracurricular activities are conducted 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.

Fee info

EUR 270: Online format

Participation fee includes tuition fee, study materials, field trips (for on-site format) and cultural program.

Upon successful completion of the course students will receive hard copies of certificates with ECTS credits (mailed by post in case of the online format of the Summer School).
EUR 510: On-site format

Participation fee includes tuition fee, study materials, field trips (for on-site format) and cultural program.

Upon successful completion of the course students will receive hard copies of certificates with ECTS credits (mailed by post in case of the online format of the Summer School).