Business Analytics Tools (5 cr)
Code: TX00CN88-3006
General information
- Enrollment
-
02.05.2023 - 20.08.2023
Registration for the implementation has ended.
- Timing
-
21.08.2023 - 22.10.2023
Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Mode of delivery
- On-campus
- Unit
- (2019-2024) School of ICT
- Campus
- Karaportti 2
- Teaching languages
- English
- Degree programmes
- Industrial Management
Implementation has 15 reservations. Total duration of reservations is 30 h 0 min.
| Time | Topic | Location |
|---|---|---|
|
Tue 22.08.2023 time 13:00 - 15:00 (2 h 0 min) |
Business Analytics Tools TX00CN88-3006 |
KMC592
Digitila
|
|
Mon 28.08.2023 time 13:00 - 15:00 (2 h 0 min) |
Business Analytics Tools TX00CN88-3006 |
Online
|
|
Tue 29.08.2023 time 13:00 - 15:00 (2 h 0 min) |
Business Analytics Tools TX00CN88-3006 |
KMC592
Digitila
|
|
Mon 04.09.2023 time 13:00 - 15:00 (2 h 0 min) |
Business Analytics Tools TX00CN88-3006 |
Online
|
|
Tue 05.09.2023 time 13:00 - 15:00 (2 h 0 min) |
Business Analytics Tools TX00CN88-3006 |
KMC592
Digitila
|
|
Mon 11.09.2023 time 13:00 - 15:00 (2 h 0 min) |
Business Analytics Tools TX00CN88-3006 |
Online
|
|
Tue 12.09.2023 time 13:00 - 15:00 (2 h 0 min) |
Business Analytics Tools TX00CN88-3006 |
KMC592
Digitila
|
|
Mon 18.09.2023 time 13:00 - 15:00 (2 h 0 min) |
Business Analytics Tools TX00CN88-3006 |
Online
|
|
Tue 19.09.2023 time 13:00 - 15:00 (2 h 0 min) |
Business Analytics Tools TX00CN88-3006 |
KMC592
Digitila
|
|
Mon 25.09.2023 time 13:00 - 15:00 (2 h 0 min) |
Business Analytics Tools TX00CN88-3006 |
Online
|
|
Tue 26.09.2023 time 13:00 - 15:00 (2 h 0 min) |
Business Analytics Tools TX00CN88-3006 |
KMC592
Digitila
|
|
Mon 02.10.2023 time 13:00 - 15:00 (2 h 0 min) |
Business Analytics Tools TX00CN88-3006 |
Online
|
|
Tue 03.10.2023 time 13:00 - 15:00 (2 h 0 min) |
Business Analytics Tools TX00CN88-3006 |
KMC592
Digitila
|
|
Mon 09.10.2023 time 13:00 - 15:00 (2 h 0 min) |
Business Analytics Tools TX00CN88-3006 |
Online
|
|
Tue 10.10.2023 time 13:00 - 15:00 (2 h 0 min) |
Business Analytics Tools TX00CN88-3006 |
KMC592
Digitila
|
Objective
The students ability to understand opportunities in developing businesses with data management is developed further as well as skills in analytics tools. The student's potential to be a analytics developer are improved.
Content
Advanced use of analytics tools and fluent skills in practical utilisation of at least one tool.
Evaluation scale
0-5
Assessment criteria, satisfactory (1)
The student has achieved the course objectives fairly. Students will be able to identify, define and use the concepts and models in the subject area. 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 in some areas. The student is able to define the course concepts and models and is able to justify the analysis. The student is able to apply the knowledge in study and work situations in the own field. 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 concepts and models in the course. The student is able to make justified and fluent analysis and to present concrete development measures. The students are well prepared to apply their knowledge in study and work situations. Students are able to analyze the business sector expertise and the evolvement of their own expertise.
Assessment criteria, approved/failed
The student has achieved the course objectives fairly. Students will be able to identify, define and use the concepts and models in the subject area. The student understands the criteria and principles of the expertise development.
Qualifications
Statistical Mathematics
Objective
The students ability to understand opportunities in developing businesses with data management is developed further as well as skills in analytics tools. The student's potential to be a analytics developer are improved.
Content
Advanced use of analytics tools and fluent skills in practical utilisation of at least one tool.
Qualifications
Statistical Mathematics