Business Analytics and Tools (10 cr)
Code: CB00EU69-3003
General information
- Timing
-
09.01.2023 - 26.05.2023
Implementation has ended.
- Number of ECTS credits allocated
- 10 cr
- Mode of delivery
- On-campus
- Unit
- (2019-2024) School of Business
- Teaching languages
- Finnish
- Seats
- 0 - 51
- Teachers
- Niklas Visanko
- Teacher in charge
- Niklas Visanko
- Groups
-
CBTAHA23KCAREERBOOST_K23_LXD TaHa
- Course
- CB00EU69
Implementation has 7 reservations. Total duration of reservations is 36 h 0 min.
| Time | Topic | Location |
|---|---|---|
|
Wed 05.04.2023 time 09:00 - 15:00 (6 h 0 min) |
Liiketoiminnan analytiikka ja työkalut CB00EU69-3003 |
MMA118
IT-Tila
|
|
Wed 12.04.2023 time 09:00 - 15:00 (6 h 0 min) |
Liiketoiminnan analytiikka ja työkalut CB00EU69-3003 |
MMA118
IT-Tila
|
|
Wed 19.04.2023 time 14:00 - 17:00 (3 h 0 min) |
Liiketoiminnan analytiikka ja työkalut CB00EU69-3003 |
MMA118
IT-Tila
|
|
Wed 26.04.2023 time 09:00 - 15:00 (6 h 0 min) |
Liiketoiminnan analytiikka ja työkalut CB00EU69-3003 |
MMA118
IT-Tila
|
|
Wed 03.05.2023 time 09:00 - 15:00 (6 h 0 min) |
Liiketoiminnan analytiikka ja työkalut CB00EU69-3003 |
MMA118
IT-Tila
|
|
Wed 10.05.2023 time 13:00 - 16:00 (3 h 0 min) |
Liiketoiminnan analytiikka ja työkalut CB00EU69-3003 |
MMA118
IT-Tila
|
|
Wed 17.05.2023 time 09:00 - 15:00 (6 h 0 min) |
Liiketoiminnan analytiikka ja työkalut CB00EU69-3003 |
MMA118
IT-Tila
|
Objective
Upon completing this course, student understands concept of data driven decision-making, need of measuring key performance indicators and effective reporting. Student can apply business analytics skills to real life cases, use BI-tools in practice and solve problems with automation and applications.
Content
Descriptive, diagnostic, predictive and prescriptive analytics
Business Intelligence-, data-mining- and reporting tools in use
Automation and business applications with low-code tools
Evaluation scale
0-5
Assessment criteria, approved/failed
The student has achieved the course objectives. 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.
Objective
Upon completing this course, student understands concept of data driven decision-making, need of measuring key performance indicators and effective reporting. Student can apply business analytics skills to real life cases, use BI-tools in practice and solve problems with automation and applications.
Content
Descriptive, diagnostic, predictive and prescriptive analytics
Business Intelligence-, data-mining- and reporting tools in use
Automation and business applications with low-code tools