Data-analytiikka (5 cr)
Code: LX00BZ06-3003
General information
Enrollment
10.01.2020
Timing
13.01.2020 - 29.03.2020
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Unit
Liiketalous
Campus
Leiritie 1
Teaching languages
- English
Seats
20 - 35
Degree programmes
- Degree Programme in International Business and Logistics
Teachers
- Erkki Sairanen
- Jaakko Pitkänen
Teacher in charge
Erkki Sairanen
Groups
-
LITO_VVVapaastivalittavat, liiketalous
-
LXC17_FinanceIBL Specialization Package Finance
Objective
Upon completion of the course, students will:
• Have an understanding of how managers use business analytics to formulate and solve business problems and to support managerial decision making.
• Be familiar with the processes needed to develop, report, and analyze business data.
• Know how to use and apply selected business analytics software.
Content
• Analysing business data
• Data mining and analysis
• Key performance indicators and dashboards
Materials
Lecturer's material in the OMA
Business Intelligence, Analytics and Data Science, A Managerial Perspective on Analytics, Sharda, 4th ed. 2018, Pearson
Teaching methods
Interactive lecture
Assignments, practical work
Guided assignments
Employer connections
N/A
Evaluation scale
0-5
Assessment criteria, satisfactory (1)
Sufficient performance:
showing just enough understanding of the subject to merit a pass grade but requiring greater effort to achieve a more satisfactory result
Assessment criteria, good (3)
Good performance:
showing strong understanding of basic concepts and good grasp of techniques, but with certain minor problems still requiring further attention
Assessment criteria, excellent (5)
Excellent performance:
not only fulfils all standard requirements but demonstrates originality and imagination
Assessment criteria, approved/failed
Not applicable
Assessment methods and criteria
Assignments
Learning diary
Qualifications
Quantitative Analysis