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Digital Analytics and Consumer Insight (5 cr)

Code: R0296-3007

General information


Enrollment

24.05.2021 - 30.05.2021

Timing

23.08.2021 - 10.12.2021

Number of ECTS credits allocated

5 op

Virtual proportion

4 op

Mode of delivery

20 % Contact teaching, 80 % Distance learning

Unit

Laurea Tikkurila

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

Groups

  • TOH221SY
    Täydentävä osaaminen (amk-tutkinto), S21, Kauppa, hallinto ja oikeustieteet
  • CCH221SY
    Complementary competence (bachelor’s studies), S21, Business, administration and law

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 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

Location and time

Online. September 1 - December 15, 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.

Co-operation with working life and/or RDI

Not included in this online course.

Important dates

Course is open online during September 1 - December 15, 2021

Forms of internationality

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

Students workload

Self-paced online studies+orientation.

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 criteria, satisfactory (1-2)

Student completes at least 1/4 Google Analytics Academy-course and partially completes given assignments.

Evaluation criteria, good (3-4)

Student completes Google Analytics Academy-courses (4 certificates) and is active in course's discussion forums.

Evaluation criteria, excellent (5)

Student completes Google Analytics Academy-courses (4 certificates), is active in course's discussion forums, provides several quality examples of related topics and gives constructive feedback for other students.