Studyportals
Short Course Online

Big Data - Theory and Application

Peter the Great St. Petersburg Polytechnic University (SPbPU)

12 days
Duration
295 EUR/full
295 EUR/full
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

Would you like to go deeper into big data processing and get acquainted with the students from all over the world? This course was launched specially for you!

Overview

  • Introduction to Data science
  • Working with big data
  • A system for collecting, processing and storing big data
  • Machine Learning
  • Project work: Development of software for working with big data

Programme Structure

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

Lecturers

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

Key information

Duration

  • Full-time
    • 12 days

Start dates & application deadlines

Language

English

Credits

4 ECTS

Delivered

Online

Academic requirements

We are not aware of any academic requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General 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.

Tuition Fee

To alway see correct tuition fees
  • International

    295 EUR/full
    Tuition Fee
    Based on the tuition of 295 EUR for the full programme during 12 days.
  • National

    295 EUR/full
    Tuition Fee
    Based on the tuition of 295 EUR for the full programme during 12 days.
Participation fee: 30 000 RUB / 2 500 CNY

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Our partners

Big Data - Theory and Application
-
Peter the Great St. Petersburg Polytechnic University (SPbPU)

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