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Digital Analytics and Consumer Insight (5 cr)

Code: R0296-3008

General information


Enrollment
29.11.2021 - 05.12.2021
Registration for the implementation has ended.
Timing
01.04.2022 - 22.05.2022
Implementation has ended.
Number of ECTS credits allocated
5 cr
Local portion
0 cr
Virtual proportion
5 cr
Mode of delivery
Distance learning
Campus
Laurea Virtual Campus
Teaching languages
English
Seats
40 - 100
Degree programmes
Laurea täydentävä osaaminen, amk-tutkinto (TOH2), Kauppa, hallinto ja oikeustieteet
Teachers
Asko Mononen
Teacher in charge
Asko Mononen
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

Online, April- May 2022.

Materials

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

Teaching methods

This is an online course done 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

Not included in this online course by default. If you want to combine these to the course in your personal work related project, this can be agreed separately. Contact asko.mononen@laurea.fi in these cases.

Exam schedules

Course is open Apri-May 2022.

International connections

The study unit is suitable for exchange students as well.

Completion alternatives

If you already have valid Google Analytics certificates and have made projects on this field, there's possibility to demonstrate your earlier competence without completing this course. In this case, contact asko.mononen@laurea.fi

Student workload

Self-paced online studies.

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

Further information

According to the degree regulations (section 18) “students must be present in the first contact session or notify their teacher in charge if they cannot attend. If they fail to notify the teacher of their absence in the first contact session, their enrolment will be rejected. Another student in the queue may be enrolled in the study unit in the place of the absent student.” (Laurea degree regulations) In the case of online studies the lecturer can also specify some other way than participation on an online meeting what is required from the student so that he/she verifies his/her attendance on the study unit (Decision by the vice president, education 7/2019).

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