Programming for data analysisLaajuus (5 cr)
Code: VV00EJ14
Credits
5 op
Teaching language
- Finnish
Responsible person
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.
Enrollment
06.04.2023 - 06.09.2023
Timing
01.09.2023 - 31.12.2023
Number of ECTS credits allocated
5 op
Virtual portion
5 op
Mode of delivery
Distance learning
Unit
Yhteisten opintojen koulutusyksikkö
Campus
Kouvola Campus
Teaching languages
- Finnish
Seats
20 - 50
Teachers
- Atte Reijonen
Groups
-
VV2023-2024Optional studies 2023-2024
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.
Opiskelumateriaali
Ilmoitetaan opintojakson alkaessa.
Yksilölliset oppimisväylät
Verkkototeutus
TKI ja työelämäyhteistyö
-
Opiskelijan työmäärä
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.
Enrollment
06.04.2022 - 28.08.2022
Timing
01.09.2022 - 20.12.2022
Number of ECTS credits allocated
5 op
Virtual portion
3 op
Mode of delivery
40 % Contact teaching, 60 % Distance learning
Unit
Liiketalouden koulutusyksikkö
Campus
Kouvola Campus
Teaching languages
- Finnish
Degree programmes
- Degree Programme in Data Analytics
Teachers
- Atte Reijonen
Groups
-
VV2022-2023Optional studies 2022-2023
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.
Opiskelumateriaali
Ilmoitetaan opintojakson alkaessa.
Yksilölliset oppimisväylät
On aina sovittava erikseen opettajan kanssa
TKI ja työelämäyhteistyö
-
Opiskelijan työmäärä
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.