Digital Analytics and Consumer Insight (5cr)
Code: R0296-3009
General information
- Enrollment
- 23.05.2022 - 29.05.2022
- Registration for the implementation has ended.
- Timing
- 26.08.2022 - 09.12.2022
- Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 2 cr
- Virtual proportion
- 3 cr
- RDI proportion
- 1 cr
- Mode of delivery
- Blended learning
- Campus
- Laurea Tikkurila
- Teaching languages
- English
- Seats
- 20 - 35
- Degree programmes
- Complementary competence, bachelor’s studies in English (CCH2), Business, administration and law
Learning outcomes
The student is able to
- recognize the consumer behavior offline and online (per main demographics)
- plan data collection pointsand methods online
- analyze data (e.g. aggregation, trends, comparison)
- visualize results (e.g. dashboards)
- plan consumer activation methods based on data
Teaching methods
This course will be organized at Tikkurila campus. All needed material is in Canvas- platform.
After taking the course you are able to:
-recognize the consumer behavior offline and online (per main demographics)
-plan data collection points and methods online
-analyze data (e.g. aggregation, trends, comparison)
-visualize results (e.g. dashboards)
-plan consumer activation methods based on data
Time and location
This course will be organized at Tikkurila campus.
15.09.2022 09.00 - 11.00
27.10.2022 09.00 - 11.00
01.12.2022 09.00 - 11.00
Learning materials and recommended literature
All material needed will be found in Canvas platform for enrolled and accepted students. The course assignments include Google Analytics Academy -exams and certifications.
Co-operation with working life and/or RDI
Individual work is related to project's GA data
Important dates
15.09.2022 09.00 - 11.00
27.10.2022 09.00 - 11.00
01.12.2022 09.00 - 11.00
Forms of internationality
Study unit is suitable for Laurea exchange students and for Laurea students abroad.
Student workload
Some self-paced studies, e.g. certificates.
Content and scheduling
-recognize the consumer behavior offline and online (per main demographics)
-plan data collection points and methods online
-analyze data (e.g. aggregation, trends, comparison)
-visualize results (e.g. dashboards)
-plan consumer activation methods based on data
Evaluation scale
H-5