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
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).