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Digital Analytics and Consumer Insight (5 cr)

Code: R0296-3007

General information


Enrollment
24.05.2021 - 30.05.2021
Registration for the implementation has ended.
Timing
23.08.2021 - 10.12.2021
Implementation has ended.
Number of ECTS credits allocated
5 cr
Local portion
1 cr
Virtual proportion
4 cr
Mode of delivery
Blended learning
Campus
Laurea Tikkurila
Teaching languages
English
Seats
20 - 50
Degree programmes
Laurea täydentävä osaaminen, amk-tutkinto (TOH2), Kauppa, hallinto ja oikeustieteet
Teachers
Terhi Kärpänen
Teacher in charge
Terhi Kärpänen
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. September 1 - December 15, 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 mostly online course, done in Canvas- platform. The first orientation will be organized via Zoom on September.
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 September 1 - December 15, 2021

International connections

Study unit is suitable for Laurea exchange students and for Laurea students abroad.

Student workload

Self-paced online studies+orientation.

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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