Business Analytics and Tools (10 cr)
Code: CB00FI42-3001
General information
- Timing
-
04.09.2023 - 14.12.2023
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 - 31
- Teachers
- Niklas Visanko
- Teacher in charge
- Niklas Visanko
- Groups
-
CBTAHA23SCAREERBOOST_S23_LXD TaHa
- Course
- CB00FI42
Implementation has 12 reservations. Total duration of reservations is 57 h 0 min.
Time | Topic | Location |
---|---|---|
Wed 06.09.2023 time 09:00 - 15:00 (6 h 0 min) |
Liiketoiminnan analytiikka ja työkalut CB00FI42-3001 |
MMA118
IT-Tila
|
Wed 13.09.2023 time 09:00 - 15:00 (6 h 0 min) |
Liiketoiminnan analytiikka ja työkalut CB00FI42-3001 |
MMA118
IT-Tila
|
Wed 20.09.2023 time 09:00 - 15:00 (6 h 0 min) |
Liiketoiminnan analytiikka ja työkalut CB00FI42-3001 |
MMA118
IT-Tila
|
Wed 27.09.2023 time 13:00 - 16:00 (3 h 0 min) |
Liiketoiminnan analytiikka ja työkalut CB00FI42-3001 |
MMA118
IT-Tila
|
Wed 04.10.2023 time 13:00 - 16:00 (3 h 0 min) |
Liiketoiminnan analytiikka ja työkalut CB00FI42-3001 |
MMA118
IT-Tila
|
Wed 11.10.2023 time 13:00 - 16:00 (3 h 0 min) |
Liiketoiminnan analytiikka ja työkalut CB00FI42-3001 |
MMA118
IT-Tila
|
Wed 25.10.2023 time 09:00 - 15:00 (6 h 0 min) |
Liiketoiminnan analytiikka ja työkalut CB00FI42-3001 |
MMA118
IT-Tila
|
Wed 01.11.2023 time 09:00 - 15:00 (6 h 0 min) |
Liiketoiminnan analytiikka ja työkalut CB00FI42-3001 |
MMA118
IT-Tila
|
Wed 08.11.2023 time 13:00 - 16:00 (3 h 0 min) |
Liiketoiminnan analytiikka ja työkalut CB00FI42-3001 |
MMA118
IT-Tila
|
Wed 15.11.2023 time 09:00 - 15:00 (6 h 0 min) |
Liiketoiminnan analytiikka ja työkalut CB00FI42-3001 |
MMA118
IT-Tila
|
Wed 22.11.2023 time 09:00 - 15:00 (6 h 0 min) |
Liiketoiminnan analytiikka ja työkalut CB00FI42-3001 |
MMA118
IT-Tila
|
Wed 29.11.2023 time 13:00 - 16:00 (3 h 0 min) |
Liiketoiminnan analytiikka ja työkalut CB00FI42-3001 |
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
This course is aimed for one that has immigration background and speaks Finnish in B1-level. Teaching in slow, plain Finnish (called selkosuomi). Lectures are at the day-time and requires active participation. Course requires a lot of time used outside the classroom. Studying requires accounting skills, previous education or work experience.
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
This course is aimed for one that has immigration background and speaks Finnish in B1-level. Teaching in slow, plain Finnish (called selkosuomi). Lectures are at the day-time and requires active participation. Course requires a lot of time used outside the classroom. Studying requires accounting skills, previous education or work experience.