Manipulated and analyzed data supporting decision-making (5 cr)
Code: LT00DT64-3001
General information
- Enrollment
-
14.12.2020 - 14.01.2021
Registration for the implementation has ended.
- Timing
-
15.03.2021 - 24.05.2021
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
- Seats
- 20 - 50
- Degree programmes
- Degree Programme in Business Management
- Teachers
- Väinö Toots
- Päivi Hurri
- Teacher in charge
- Päivi Hurri
- Groups
-
LTKV20KM3Business, part-time studies
- Course
- LT00DT64
Objective
You know digitalization as a phenomenon.
You can develop competences in data retrieval, data manipulation and data analysis.
You can report manipulated and analyzed data supporting decision-making.
Content
What tools can be used for retrieval, storage and manipulation of data and how is this done?
How is data analysis done?
How are data visualized?
What is business intelligence?
Evaluation
You can
a. use professional vocabulary systematically.
b. look for information in the key information sources of the field.
c. identify interrelated tasks.
d. work together with customers, users and target groups.
e. use the key models, methods, software and techniques of the professional field.
Course material
Opintojakson materiaalit löytyy Learnista alustalta Digitaalinen tieto päätöksenteon tukena (https://learn.xamk.fi/course/view.php?id=5971 ; avain Digidata), jossa opintojakson tarkempi kuvaus.
Study forms and methods
Opintojakson voi suorittaa kokonaan virtuaalisesti.
Timing of exams and assignments
Opintojaksolla ei ole tenttiä.
Course part description
Opintojakso jakautuu kahteen osaan: Tiedolla johtaminen 2op (Päivi Hurri) ja Tiedon analysointi ja raportointi 3op (Jarkko Ansamäki).
Evaluation scale
1-5
Assessment methods and criteria
Opintojakson arvosana on opintopisteillä painotettu keskiarvo osien arvioinneista.
Qualifications
ICT tools (5 cr) or equivalent knowledge.