Internal company data (5 cr)
Code: DA00EK56-3003
General information
- Enrollment
-
08.04.2024 - 21.04.2024
Registration for the implementation has ended.
- Timing
-
02.09.2024 - 31.12.2024
Implementation has ended.
- 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
- Jarkko Ansamäki
- Teacher in charge
- Jarkko Ansamäki
- Groups
-
DAKV23SVData analytics, online studies
- Course
- DA00EK56
Realization has 5 reservations. Total duration of reservations is 5 h 30 min.
| Time | Topic | Location |
|---|---|---|
|
Fri 06.09.2024 time 12:50 - 14:20 (1 h 30 min) |
Yritysten sisäinen data DA00EK56-3003 |
Etäopetus lukujärjestyksen mukaan
|
|
Fri 04.10.2024 time 12:50 - 13:20 (0 h 30 min) |
Yritysten sisäinen data DA00EK56-3003 |
Etäopetus lukujärjestyksen mukaan
|
|
Fri 01.11.2024 time 12:50 - 13:20 (0 h 30 min) |
Yritysten sisäinen data DA00EK56-3003 |
Etäopetus lukujärjestyksen mukaan
|
|
Fri 22.11.2024 time 09:00 - 10:30 (1 h 30 min) |
Esitykset: Liiketalouden mittarit, Yritysten sisäinen data |
Etäopetus lukujärjestyksen mukaan
|
|
Fri 22.11.2024 time 10:40 - 12:10 (1 h 30 min) |
Esitykset: Liiketalouden mittarit, Yritysten sisäinen data |
Etäopetus lukujärjestyksen mukaan
|
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
Individual learning tracks should always be discussed with the lecturers
RDI and work-related cooperation
The course may have assignments made for companies or assignments agreed individually with students.
Student workload
1 cr = 27 hours work
Evaluation scale
1-5
Assessment methods and criteria
There are multiple lecturers in the course and final evaluation is based on the individual evaluations of the lecturers and the evaluation of the final project(s)