Applied Business Analytics (5 ECTS)

Learning outcomes

The student understands how managers use analytics to formulate and solve business problems. The student recognizes the processes needed to generate, collect, analyze and report business data. The student has gained hands-on experience in using analytics software. The student is familiar with the most frequently employed analytics platforms.

Content

- Managerial perspectives on analytics
- Descriptive, diagnostic, predictive and prescriptive analytics.
- Data sources and mining
- Data preparation, processing and visualization
- KPI’s and dashboards.

Assignment outline: Student will deepen and take responsibility of one's own learning curve in the field of business analytics by given materials, lectures, hands-on exercises and by external sources. Student will demonstrate one's learning process with learning journal and via other individual assignments.

Prerequisites

Completed Higher Education Degree

Teaching methods

Teaching methods: face-to-face teaching, workshops, individual assignments..

Learning outcomes:
The student understands how managers use analytics to formulate and solve business problems. The student recognizes the processes needed to generate, collect, analyze and report business data. The student has gained hands-on experience in using analytics software. The student is familiar with the most frequently employed analytics platforms.

Location and time

The course is schedule for these dates:
4.9. (at 13-16), 2.10., 30.10., 13.11. and 27.11.
Time: 9:00-12:00 (except 1st time).

Learning materials and recommended literature

Online materials will appear in OMA workspace.

Student workload

The student workload is 5 credits including all forms of learning: contact studies in class, self-studies and completing individual assignments (appx.135 hours, calculating 1 credit as appx. 27 hours).

Assignment outline:
Student will deepen and take responsibility of one's own learning curve in the field of business analytics by given materials, lectures, hands-on exercises and by external sources. Student will demonstrate one's learning process with learning journal and via other individual assignments.

Content scheduling

Course contents:
- Managerial perspectives on analytics
- Descriptive, diagnostic, predictive and prescriptive analytics.
- Data sources and mining
- Data preparation, processing and visualization
- KPI’s and dashboards.

Assessment methods and criteria

Satisfactory (1-2)
Sufficient performance: has completed basic requirements to pass the course and has made an attempt to apply and articulate concepts and information both verbally and in writing but has not made enough effort overall. The student has demonstrated little effort, interest and motivation for individual or team activities / assignments and the output is rather weak.

Good (3-4)
Good overall performance: can apply and articulate concepts and information well both verbally and in writing, certain areas of individual or team output require further attention; shows appropriate level of interest and motivation in individual and team activities. Good presentation delivery and analysis.

Excellent (5)
Excellent performance in all elements of the course: shows interest and motivation in individual and team activities and assignments, fully applies and clearly articulates concepts and information both verbally and in writing. The student is able to support his/her argument with references to the recommended reading and lecture content. Excellent presentation delivery and analysis.

Approved / Failed
Sufficient performance: has completed basic requirements to pass the course and has made an attempt to apply and articulate concepts and information both verbally and in writing but has not made enough effort overall. The student has demonstrated little effort, interest and motivation for individual or team activities / assignments and the output is rather weak.

Evaluation scale
H-5. The course is assessed on the H (pass) / 0 (failed) – 5 (excellent) scale.

Evaluation scale

0-5

Assessment criteria, satisfactory (1)

Sufficient performance: has completed basic requirements to pass the course and has made an attempt to apply and articulate concepts and information both verbally and in writing but has not made enough effort overall. The student has demonstrated little effort, interest and motivation for individual or team activities / assignments and the output is rather weak.

Assessment criteria, good (3)

Good overall performance: can apply and articulate concepts and information well both verbally and in writing, certain areas of individual or team output require further attention; shows appropriate level of interest and motivation in individual and team activities. Good presentation delivery and analysis.

Assessment criteria, excellent (5)

Excellent performance in all elements of the course: shows interest and motivation in individual and team activities and assignments, fully applies and clearly articulates concepts and information both verbally and in writing. The student is able to support his/her argument with references to the recommended reading and lecture content. Excellent presentation delivery and analysis.

Assessment criteria, approved/failed

Sufficient performance: has completed basic requirements to pass the course and has made an attempt to apply and articulate concepts and information both verbally and in writing but has not made enough effort overall. The student has demonstrated little effort, interest and motivation for individual or team activities / assignments and the output is rather weak.