Digital Analytics and Consumer Insight (5 cr)
Code: R0296-3006
General information
- Enrollment
-
23.11.2020 - 29.11.2020
Registration for the implementation has ended.
- Timing
-
01.03.2021 - 17.05.2021
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
- 20 - 130
- 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. March 1 - May 31, 2021.
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 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
Employer connections
Not included in this online course.
Exam schedules
Course is open online during March-May 2021.
International connections
Study unit is suitable for Laurea exchange students and for Laurea students abroad.
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 between March-May 2021. Effort worth 5 ects.
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