Siirry suoraan sisältöön

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

Objective

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

Oppimateriaali ja suositeltava kirjallisuus

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

Toteutustapa

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

Työelämäyhteistyö ja/tai TKI

Individual work is related to project's GA data

Toteutuksen tärkeät päivämäärät

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

Kansainvälisyys toteutuksella

Study unit is suitable for Laurea exchange students and for Laurea students abroad.

Student workload

Some self-paced studies, e.g. certificates.

Sisältö ja sen jaksotus

-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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