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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

20.11.2023 - 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 and optional courses, Bachelors
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
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