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
-
TOH221SYTäydentävä osaaminen (amk-tutkinto), S21, Kauppa, hallinto ja oikeustieteet
-
CCH221SYComplementary 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.