Data and Web Analytics (5 cr)
Code: T31L1282J-3003
General information
- Enrollment
- 01.10.2024 - 04.05.2025
- Registration for the implementation has ended.
- Timing
- 05.05.2025 - 25.05.2025
- Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 5 cr
- Mode of delivery
- Contact learning
- Unit
- Bachelor of Business Administration, Business Economics T
- Teaching languages
- English
- Seats
- 0 - 40
- Degree programmes
- Degree Programme in Business Management
- Teachers
- Ani Ruusila
- Teacher in charge
- Ani Ruusila
- Groups
-
TA31L23KBachelor of Business Administration, Business Economics, Tornio, Spring 2023
- Course
- T31L1282J
Evaluation scale
H-5
Content scheduling
Detailed schedule can be found from the moodle.
Objective
On successful completion of the course, student is able to utilize the key practises and tools of collecting, analysing and reporting business data. Student is able to support business decision making with relevant and professionally visualized data. Student is able to utilize web analytics tools to enhance marketing activities.
Content
Google Analytics or other similar tool
Google Data Studio, MS PowerBI or other similar tool
Location and time
The course is carried out in Zoom and Moodle 5.5. - 25.5.2025.
Materials
Will be updated to Moodle later
Teaching methods
Teaching is done remotely by Zoom.
Teacher will guide students towards the subject and necessary material. Detailed schedule is on the calender
Exam schedules
There will not be any exams. First retry will be 2 months after the actual submission date.
Second retry will be in next semester week 42.
Student workload
Five credit workload is about 133 hours of studying.
Assessment criteria, satisfactory (1)
Student recognizes the variety of business data sources and general methods of collecting it from them. Student recognizes the need for combining data from different sources. Student can use some features of a analytical tool to manipulate business data. Student can produce visual reporting for business decision makers. Student is able to utilize the some features of web analytics tools to find potential problems in marketing activities.
Assessment criteria, good (3)
Student recognizes the key sources of business data and methods of collecting it from them. Student recognizes the need and principles for combining data from different sources. Student can use a relevant analytical tool to manipulate data related to business decision making. Student can produce clear and visual reporting for business decision makers. Student is able to utilize the key features of web analytics tools to find potential problems in marketing activities.
Assessment criteria, excellent (5)
Students recognizes the different business data sources and methods of collecting and combining data from them in practical way. Student can use key analytical tools to manipulate data in order to support business decision making. Student can produce relevant and professionally visualised data reporting in order to communicate with different stakeholders. Student is able to utilize web analytics tools to suggest improvements in marketing activities.