Study Guide

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

Location and time

Online. March 1 - May 31, 2021.

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-May 2021.

Forms of internationality

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

Students workload

Self-paced online studies between March-May 2021. Effort worth 5 ects.

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

Grading scale

H-5

Evaluation methods and criteria

“The evaluation of competence is based on the descriptions of objectives in the curricula and the evaluation criteria provided in the study unit’s implementation plan” (Laurea degree regulations).

Evaluation criteria, fail (0)

Student fails to complete Google analytics certificates and other assignments by deadline.

Evaluation criteria, satisfactory (1-2)

Student completes at least 1/5 Google Analytics Academy-course and partially completes given assignments.

Evaluation criteria, good (3-4)

Student completes Google Analytics Academy-courses (5 certificates) and is active in course's discussion forums.

Evaluation criteria, excellent (5)

Student completes Google Analytics Academy-courses (5 certificates), is active in course's discussion forums, provides several quality examples of related topics and gives constructive feedback for other students.