Internal company dataLaajuus (5 cr)
Code: DA00EK56
Credits
5 op
Teaching language
- Finnish
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?
Enrollment
08.04.2024 - 21.04.2024
Timing
02.09.2024 - 31.12.2024
Number of ECTS credits allocated
5 op
Virtual portion
5 op
Mode of delivery
Distance learning
Unit
Liiketalouden koulutusyksikkö
Campus
Ecampus
Teaching languages
- Finnish
Seats
20 - 60
Degree programmes
- Degree Programme in Data Analytics
Teachers
- Väinö Toots
- Jarkko Ansamäki
Teacher in charge
Jarkko Ansamäki
Groups
-
DAKV23SVData analytics, online studies
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?
Materials
Web materials
Teaching methods
Individual learning tracks should always be discussed with the lecturers
Employer connections
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)
Enrollment
06.04.2023 - 21.04.2023
Timing
04.09.2023 - 31.12.2023
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Unit
Liiketalouden koulutusyksikkö
Campus
Kouvola Campus
Teaching languages
- Finnish
Seats
20 - 60
Degree programmes
- Degree Programme in Data Analytics
Teachers
- Väinö Toots
- Jarkko Ansamäki
Groups
-
DAKV22SMData analytics, part-time
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?
Materials
Web materials
Teaching methods
Individual learning tracks should always be discussed with the lecturers
Employer connections
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)
Enrollment
06.04.2022 - 22.04.2022
Timing
29.08.2022 - 31.12.2022
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Unit
Liiketalouden koulutusyksikkö
Campus
Kouvola Campus
Teaching languages
- Finnish
Seats
20 - 40
Degree programmes
- Degree Programme in Data Analytics
Teachers
- Väinö Toots
- Jarkko Ansamäki
Groups
-
DAKV21SPData-analytics, full-time studies
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?
Materials
Web materials
Teaching methods
Individual learning tracks should always be discussed with the lecturers
Employer connections
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)