Programming for data analysis (5 cr)
Code: VV00EJ14-3002
General information
- Enrollment
-
23.08.2021 - 29.08.2021
Registration for the implementation has ended.
- Timing
-
30.08.2021 - 17.12.2021
Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 2 cr
- Virtual portion
- 3 cr
- Mode of delivery
- Blended learning
- Unit
- Liiketalouden koulutusyksikkö, Kouvola (vanhennettu)
- Campus
- Kouvola Campus
- Teaching languages
- Finnish
Objective
The main objective of the course is to learn to create decision tree machine learning models using Python programming language. In the process the basics of Python programming for handling and visualizing data will be studied.
Content
The course starts from the basics of Python programming especially for handling and visualizing data. Next we will continue to decision tree machine learning models. We will go through these models theoretically and in practice using Python. Pandas, Scikit-learn and Seaborn libraries will be used among others.
Course material
Ilmoitetaan opintojakson alkaessa.
Study forms and methods
On aina sovittava erikseen opettajan kanssa
Student workload
1 op = 27 tuntia opiskelijan työtä
Further information
Ohjelmointiosaaminen (esim. Python- tai R-ohjelmoinnista) helpottaa kurssin suorittamista, mutta kurssin pystyy suorittamaan myös ilman aiempaa ohjelmointikokemusta.
Evaluation scale
Approved/Failed
Assessment methods and criteria
Ilmoitetaan opintojakson alkaessa.