BI, analytics and reportingLaajuus (5 cr)
Code: AL00CI89
Credits
5 op
Objective
The student is able to:
- describe key concepts related to business intelligence (BI) as well as requirements and analysis methods of a data analyst
- produce, analyze and visualize data to support decision making
- utilize data visulization and analysis tools
Enrollment
20.11.2024 - 03.01.2025
Timing
13.01.2025 - 18.04.2025
Number of ECTS credits allocated
5 op
Virtual portion
5 op
Mode of delivery
Distance learning
Unit
Faculty of Business and Hospitality Management (LAB)
Campus
E-campus
Teaching languages
- Finnish
Seats
20 - 50
Degree programmes
- Complementary competence, Bachelor's (in Finnish)
Teachers
- Jaani Väisänen
- Marianne Viinikainen
Scheduling groups
- Itsenäinen (Size: 0. Open UAS: 0.)
- Verkkoluento (Size: 0. Open UAS: 0.)
- Verkkotentti (Size: 0. Open UAS: 0.)
Groups
-
LLABTOTA
-
LLPRLII23SV
-
LLTILII23SH2
-
LLPRLII23SL
-
LLTILII23SH1
-
LLTILII24K
-
LLABTO24-25
-
LLTILII23K
-
LLTILIL23KV
Small groups
- Independent studies
- Online lecture
- Online exam
Learning outcomes
The student is able to:
- describe key concepts related to business intelligence (BI) as well as requirements and analysis methods of a data analyst
- produce, analyze and visualize data to support decision making
- utilize data visulization and analysis tools
Assessment scale
1-5
Enrollment
20.11.2023 - 05.01.2024
Timing
15.01.2024 - 12.04.2024
Number of ECTS credits allocated
5 op
Virtual portion
5 op
Mode of delivery
Distance learning
Unit
Faculty of Business and Hospitality Management (LAB)
Campus
E-campus
Teaching languages
- Finnish
Degree programmes
- Complementary competence, Bachelor's (in Finnish)
Teachers
- Jaani Väisänen
- Marianne Viinikainen
Scheduling groups
- Itsenäinen (Size: 0. Open UAS: 0.)
- Verkkoluento (Size: 0. Open UAS: 0.)
Groups
-
LLTILIL22KV
-
LLABTOTA
-
LLTILII22K
-
LLPRLII22SL
-
LLTILII23K
-
LLTILII22SH2
-
LLABTO23-24
-
LLTILII22SH1
-
LLPRLII22SV
Small groups
- Independent
- Online lecture
Learning outcomes
The student is able to:
- describe key concepts related to business intelligence (BI) as well as requirements and analysis methods of a data analyst
- produce, analyze and visualize data to support decision making
- utilize data visulization and analysis tools
Assessment scale
1-5
Enrollment
21.11.2022 - 08.01.2023
Timing
09.01.2023 - 31.03.2023
Number of ECTS credits allocated
5 op
Virtual portion
5 op
Mode of delivery
Distance learning
Unit
Faculty of Business and Hospitality Management (LAB)
Campus
- Lappeenranta Campus
- E-campus
Teaching languages
- Finnish
Seats
20 - 50
Degree programmes
- Bachelor's Degree Programme in Business (in Finnish)
Teachers
- Jaani Väisänen
- Marianne Viinikainen
Scheduling groups
- Luennot (Size: 0. Open UAS: 0.)
- Itsenäinen (Size: 0. Open UAS: 0.)
- Tentti (Size: 0. Open UAS: 0.)
- Verkkoluento (Size: 0. Open UAS: 0.)
Groups
-
LLPRLII21SL
-
LLABTO23H
Small groups
- Lectures
- Independent study
- Exam
- Online lectures
Learning outcomes
The student is able to:
- describe key concepts related to business intelligence (BI) as well as requirements and analysis methods of a data analyst
- produce, analyze and visualize data to support decision making
- utilize data visulization and analysis tools
Assessment scale
1-5