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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
  • VV2023-2024
    Optional 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

Department of Business

Campus

Kouvola Campus

Teaching languages
  • Finnish
Degree programmes
  • Degree Programme in Data Analytics
Teachers
  • Atte Reijonen
Groups
  • VV2022-2023
    Optional 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.