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Digital Analytics and Consumer Insight (5 cr)

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
Teachers
Terhi Kärpänen
Teacher in charge
Terhi Kärpänen
Study unit
R0296

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.
15.09.2022 09.00 - 11.00
27.10.2022 09.00 - 11.00
01.12.2022 09.00 - 11.00

Materials

All material needed will be found in Canvas platform for enrolled and accepted students. The course assignments include Google Analytics Academy -exams and certifications.

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

Employer connections

Individual work is related to project's GA data

Exam schedules

15.09.2022 09.00 - 11.00
27.10.2022 09.00 - 11.00
01.12.2022 09.00 - 11.00

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

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