Digital Analytics and Consumer Insight (5cr)
Code: R0296-3004
General information
- Enrollment
- 25.11.2019 - 01.12.2019
- Registration for the implementation has ended.
- Timing
- 01.03.2020 - 17.05.2020
- 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 common
- Teaching languages
- English
- Seats
- 20 - 80
- 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
Teaching methods
This is 100% 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
Time and location
Online. March 1 - April 30, 2020.
Learning materials and recommended literature
All material needed will be found in online platform for enrolled and accepted students. The course assignments include Google Analytics Academy -exams and certifications.
Alternative completion methods of implementation
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
Co-operation with working life and/or RDI
Not included in this online course.
Important dates
Course is open online during March-April 2020.
Forms of internationality
Study unit is suitable for Laurea exchange students and for Laurea students abroad.
Student workload
Self-paced online studies between March-April, 2020.
Content and 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
Assessment criteria, approved/failed
Student fails to complete Google analytics certificates and other assignments by deadline.
Evaluation scale
H-5