Course · SFT6503
Python for Data Analysis
Course information
- Course code
- SFT6503
- Credits (ECTS)
- 5
- L + S + Lab
- 15 + 0 + 30
- Year / semester
- Year 3 / semester 5
- Level of course
- Bachelor's degree
- Component
- Minor
- Cycle
- PD
- Final assessment
- Examination
- Educational programme
- 6B06106 Computing and software
- Curriculum
- Вычислительная техника и программное обеспечение (2024-2028)
Minor track course.
Course description
The course shows you how to use your programming skills to build predictive models, visualize data, and work with neural networks. The course is focused on practice and will allow you to immediately start working with data and building models.
Student workload
| Type of work | Hours per week | Weeks | Total hours per semester |
|---|---|---|---|
| Lectures (L) | 1 | 15 | 15 |
| Laboratory work (Lab) | 2 | 15 | 30 |
| Independent work under instructor supervision | 1 | 15 | 15 |
| Independent student work | 6 | 15 | 90 |
| Total | 150 |
1 credit = 30 academic hours; a semester lasts 15 weeks.
Source: Platonus, working curriculum for the 2026–2027 academic year.
← Programme curriculum