| Course title | Python and R for Data Science |
|---|---|
| Course code | KI/PYR |
| Organizational form of instruction | Lecture + Lesson |
| Level of course | Master |
| Year of study | not specified |
| Semester | Winter |
| Number of ECTS credits | 4 |
| Language of instruction | English |
| Status of course | Compulsory, Compulsory-optional |
| Form of instruction | Face-to-face |
| Work placements | This is not an internship |
| Recommended optional programme components | None |
| Lecturer(s) |
|---|
|
| Course content |
|
unspecified
|
| Learning activities and teaching methods |
| unspecified |
| Learning outcomes |
| Prerequisites |
|
unspecified
|
| Assessment methods and criteria |
|
unspecified
|
| Recommended literature |
|
|
| Study plans that include the course |
| Faculty | Study plan (Version) | Category of Branch/Specialization | Recommended semester |
|---|