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Seeing Through Data (5 cr)

Code: LC00EJ12-3004

General information


Enrollment
06.05.2024 - 11.08.2024
Registration for the implementation has ended.
Timing
26.08.2024 - 20.12.2024
Implementation has ended.
Number of ECTS credits allocated
5 cr
Local portion
4 cr
Virtual portion
1 cr
Mode of delivery
On-campus and online
Unit
(2019-2024) School of Business
Campus
Leiritie 1
Teaching languages
English
Seats
20 - 35
Degree programmes
Degree Programme in International Business and Logistics
Degree Programme in European Business Administration
Teachers
Misa Bakajic
Teacher in charge
Anne Perkiö
Groups
LB23M
Incoming DD Münster 2nd year students
LB22B_BA_M
Incoming DD HTW Berlin BA Marketing
LB22L_BI
Incoming DD La Rochelle 3rd year students Business Intelligence
LXD22S1
Liiketalouden tutkinto-ohjelma päivä
LB22S_BI
Incoming DD Stuttgart Business Intelligence
Course
LC00EJ12

Implementation has 15 reservations. Total duration of reservations is 45 h 0 min.

Time Topic Location
Thu 29.08.2024 time 08:00 - 11:00
(3 h 0 min)
Seeing Through Data LC00EJ12-3004
MMA118 IT-Tila
Thu 05.09.2024 time 08:00 - 11:00
(3 h 0 min)
Seeing Through Data LC00EJ12-3004
MMA118 IT-Tila
Thu 12.09.2024 time 08:00 - 11:00
(3 h 0 min)
Seeing Through Data LC00EJ12-3004
MMA118 IT-Tila
Thu 19.09.2024 time 08:00 - 11:00
(3 h 0 min)
Seeing Through Data LC00EJ12-3004
MMA118 IT-Tila
Thu 26.09.2024 time 08:00 - 11:00
(3 h 0 min)
Seeing Through Data LC00EJ12-3004
MMA118 IT-Tila
Thu 03.10.2024 time 08:00 - 11:00
(3 h 0 min)
Seeing Through Data LC00EJ12-3004
MMA118 IT-Tila
Thu 10.10.2024 time 08:00 - 11:00
(3 h 0 min)
Seeing Through Data LC00EJ12-3004
MMA118 IT-Tila
Thu 24.10.2024 time 08:00 - 11:00
(3 h 0 min)
Seeing Through Data LC00EJ12-3004
MMA118 IT-Tila
Thu 31.10.2024 time 08:00 - 11:00
(3 h 0 min)
Seeing Through Data LC00EJ12-3004
MMA118 IT-Tila
Thu 07.11.2024 time 08:00 - 11:00
(3 h 0 min)
Seeing Through Data LC00EJ12-3004
MMA118 IT-Tila
Thu 14.11.2024 time 08:00 - 11:00
(3 h 0 min)
Seeing Through Data LC00EJ12-3004
MMA118 IT-Tila
Thu 21.11.2024 time 08:00 - 11:00
(3 h 0 min)
Seeing Through Data LC00EJ12-3004
MMA118 IT-Tila
Thu 28.11.2024 time 08:00 - 11:00
(3 h 0 min)
Seeing Through Data LC00EJ12-3004
MMA118 IT-Tila
Thu 05.12.2024 time 08:00 - 11:00
(3 h 0 min)
Seeing Through Data LC00EJ12-3004
MMA118 IT-Tila
Thu 12.12.2024 time 08:00 - 11:00
(3 h 0 min)
Seeing Through Data LC00EJ12-3004
MMA118 IT-Tila
Changes to reservations may be possible.

Objective

The student knows how to use data for achieving better life, sustainable resources and work worthy of a human being. The student understands how business users, like end-users, managers and data scientist, use data analytics to detect and solve business problems and to support decision making. The student understands processes needed to develop, report, and analyze business data. The student is able to use and apply selected software.

Content

- Business Intelligence
- Reporting, descriptive and predictive analytics
- Data Science

Evaluation scale

0-5

Assessment criteria, satisfactory (1)

The student has achieved the course objectives fairly. The student will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development.

Assessment criteria, good (3)

The student has achieved the course objectives well, even though the knowledge and skills need improvement on some areas. The student is able to define the course concepts and models and are able to justify the analysis. The student is able to apply his/her knowledge in leisure, study and work situations. The student understands the importance of expertise in the field of business and is able to analyze his/her own expertise.

Assessment criteria, excellent (5)

The student has achieved the objectives of the course with excellent marks. The student masters commendably the course subject area’s concepts and models. The student is able to make justified and fluent analysis and to present concrete development measures. The student is well prepared to apply his/her knowledge in leisure, study and work situations. The student is able to analyze the business sector expertise and the development of his/her own expertise.

Assessment criteria, approved/failed

The student has achieved the course objectives fairly. The student will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development.

Assessment methods and criteria

Individual work 70%
Group Work 30%

1a Data Processing 10 %
1b Data Processing Quiz 10%
2a Excel Dashboards 10%
2b Excel Dashboards Quiz 10%
3a Power BI 10%
3b Power BI Quiz 10%
4 Managerial Presentation 30%*

Qualifications

IT Tools 5 cr or equivalent competences

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