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Data analysis 3Laajuus (5 cr)

Code: DA00DG95

Credits

5 op

Teaching language

  • Finnish

Objective

You can use statistical analysis methods.
You can apply qualitative analysis methods.
You can carry out a data analysis project based on statistical methods.

Content

How to use statistical analysis methods?
How to use qualitative analysis methods?
How to carry out a data analysis project based on statistical methods?

Qualifications

the courses of Data acquisition 1, Data analysis 1, Visualisation and communication 1.
the courses of Data acquisition 2, Data analysis 2, Visualisation and communication 2.

Materials

Data acquisition 3, Visualization and communication 3.

Enrollment

08.11.2021 - 21.11.2021

Timing

01.01.2022 - 01.05.2022

Number of ECTS credits allocated

5 op

Mode of delivery

Contact teaching

Unit

Liiketalouden koulutusyksikkö, Kouvola (vanhettu)

Campus

Kouvola Campus

Teaching languages
  • Finnish
Seats

20 - 40

Degree programmes
  • Degree Programme in Business Data Analytics and Visualisation
Teachers
  • Atte Reijonen
  • Anja Härkönen
Groups
  • DAKV20SP
    Data-analytiikka, päivätoteutus

Objective

You can use statistical analysis methods.
You can apply qualitative analysis methods.
You can carry out a data analysis project based on statistical methods.

Content

How to use statistical analysis methods?
How to use qualitative analysis methods?
How to carry out a data analysis project based on statistical methods?

Opiskelumateriaali

Will be announced at the beginning of the course

Yksilölliset oppimisväylät

Discussion with the lecturer needed

TKI ja työelämäyhteistyö

Kurssi ei lähtökohtaisesti sisällä TKI- tai työelämäyhteistyötä. On kuitenkin mahdollista, että kurssin aikana tehtävä projekti sellaista sisältää.

Opiskelijan työmäärä

1 cr = 27 hours work for the student

Evaluation scale

1-5

Assessment methods and criteria

Will be announced at the beginning of the course

Qualifications

the courses of Data acquisition 1, Data analysis 1, Visualisation and communication 1.
the courses of Data acquisition 2, Data analysis 2, Visualisation and communication 2.