Digital Analytics and Consumer Insight (5 op)
Toteutuksen tunnus: R0296-3009
Toteutuksen perustiedot
- Ilmoittautumisaika
-
23.05.2022 - 29.05.2022
Ilmoittautuminen toteutukselle on päättynyt.
- Ajoitus
-
26.08.2022 - 09.12.2022
Toteutus on päättynyt.
- Opintopistemäärä
- 5 op
- Lähiosuus
- 2 op
- Virtuaaliosuus
- 3 op
- TKI-osuus
- 1 op
- Toteutustapa
- Monimuoto-opetus
- Toimipiste
- Laurea Tikkurila
- Opetuskielet
- englanti
- Paikat
- 20 - 35
- Koulutus
- Complementary competence, bachelor’s studies in English (CCH2), Business, administration and law
Tavoitteet
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
Aika ja paikka
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.
Opiskelijan ajankäyttö ja kuormitus
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
Arviointiasteikko
H-5