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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
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. 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

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