Digital Analytics and Consumer Insight (5 cr)
Code: R0296-3011
General information
- Enrollment
-
22.05.2023 - 28.05.2023
Registration for the implementation has ended.
- Timing
-
17.08.2023 - 04.12.2023
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 - 40
- 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
Location and time
This course will be organized at Tikkurila campus and partly online. All needed material is in Canvas- platform.
Materials
All material needed will be found in Canvas platform for enrolled and accepted students. The course assignments include Analytics -exams and certifications.
Teaching methods
This course will be organized at Tikkurila campus and partly online. 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
Employer connections
Individual work is related to project's GA data
International connections
Study unit is suitable for Laurea exchange students and for Laurea students abroad.
Student workload
Some self-paced studies, e.g. certificates.
Content 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