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Digital Analytics and Consumer Insight (5 cr)

Code: R0296-3004

General information


Enrollment

25.11.2019 - 01.12.2019

Timing

01.03.2020 - 17.05.2020

Number of ECTS credits allocated

5 op

Virtual proportion

5 op

Mode of delivery

Distance learning

Unit

Korkeakouluyksikkö D, Verkkokampus, liko

Campus

Laurea common

Teaching languages

  • English

Seats

20 - 80

Degree programmes

  • Laurea täydentävä osaaminen, amk-tutkinto (TOH2), Kauppa, hallinto ja oikeustieteet

Teachers

  • Asko Mononen

Teacher in charge

Asko Mononen

Groups

  • TOH219SY
  • CCH219SY
    Complementary competence (bachelor’s studies), S19, 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 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 - April 30, 2020.

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-April 2020.

Forms of internationality

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

Students workload

Self-paced online studies between March-April, 2020.

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, approved/failed

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

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 1/4 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.