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Internal company data (5 cr)

Code: DA00EK56-3004

General information


Enrollment
07.04.2025 - 21.04.2025
Registration for the implementation has begun.
Timing
01.09.2025 - 31.12.2025
The implementation has not yet started.
Number of ECTS credits allocated
5 cr
Local portion
0 cr
Virtual portion
5 cr
Mode of delivery
Distance learning
Unit
Department of Business
Campus
Ecampus
Teaching languages
Finnish
Seats
20 - 60
Degree programmes
Degree Programme in Data Analytics
Teachers
Veijo Vänttinen
Teacher in charge
Jarkko Ansamäki
Groups
DAKV24SV
Data analytics, online studies
Course
DA00EK56

Realization has 3 reservations. Total duration of reservations is 4 h 30 min.

Time Topic Location
Fri 12.09.2025 time 12:50 - 14:20
(1 h 30 min)
Info: Yritysten sisäinen data DA00EK56-3004
Etäopetus lukujärjestyksen mukaan
Fri 17.10.2025 time 14:30 - 16:00
(1 h 30 min)
Q&A: Yritysten sisäinen data DA00EK56-3004
Etäopetus lukujärjestyksen mukaan
Fri 14.11.2025 time 10:40 - 12:10
(1 h 30 min)
Q&A: Yritysten sisäinen data DA00EK56-3004
Etäopetus lukujärjestyksen mukaan
Changes to reservations may be possible.

Objective

You have an understanding of the different systems used by companies and the data they contain. You are familiar with the proprietary reporting features of some popular software. You can import data from different systems elsewhere for reporting and analysis.

Content

What kind of data do different companies use internally? Where is this data collected? Where is it stored? How is it utilized? How can it be analyzed?

Course material

Web materials

Study forms and methods

The student is given data from various companies to analyze. The student performs various business analyses using analytics tools. In addition to Excel, possible tools include Power BI, ERP system reports, etc., Possible a predictive analytics tool will be used.
Data is generated using business simulations whenever possible.

RDI and work-related cooperation

The course may have assignments made for companies or assignments agreed individually with students.

Timing of exams and assignments

The course will be assessed with midterm exams, of which there will be 3 - 4. More detailed information can be found on the course's Learn pages.

International cooperation

International cooperation is possible and information about this is provided on the course's Learn pages.

Student workload

1 cr = 27 hours work

Evaluation scale

1-5

Assessment methods and criteria

The course will be assessed through midterm exams.

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