Info

Real-Time Analytics

Code: 222891-D

Spring semester 2025/2026, SGH Warsaw School of Economics

Detailed course description is available in the syllabus. Recommended reading is available in the books section.

Schedule

Lectures

Lectures are conducted in a hybrid format. Attendance is optional, with in-person sessions held in Aula VI, Building G.

  1. 23.02.2026 Lecture 1 – 11:40–13:20
  2. 02.03.2026 Lecture 2 – 11:40–13:20
  3. 09.03.2026 Lecture 3 – 11:40–13:20
  4. 16.03.2026 Lecture 4 – 11:40–13:20
  5. 23.03.2026 Lecture 5 – 11:40–13:20

Test

Lectures conclude with a test during the final lecture (Lecture 5).

  • Format: 20 questions, 30 minutes
  • Platform: MS Teams
  • Passing threshold: more than 13 points – this is a prerequisite for participating in the labs.

Labs and Assessment

After completing the exercises, homework assignments must be submitted via MS Teams. Each missing homework lowers the final grade by 0.5.

Project

Projects must be completed in groups of no more than 5 people.

Project requirements:

  • The project should address a real business problem that can be solved using data processed in real time (batch processing for model training is also acceptable).
  • Data should be ingested into Apache Kafka for further processing and analysis.
  • Any programming language may be used for each component of the project.
  • Business Intelligence (BI) tools may be utilized.
  • Data sources may include any API, synthetically generated data, IoT devices, etc.

Technology

To participate in the course, you need to be familiar with the following technologies:

  1. Git
  2. Python, Jupyter Notebook, JupyterLab, Google Colab
  3. Docker and Docker Compose
  4. Apache Spark, Apache Kafka