Study Guide

Objective

The student knows how to use data for achieving better life, sustainable resources and work worthy of a human being. The student understands how business users, like end-users, managers and data scientist, use data analytics to detect and solve business problems and to support decision making. The student understands processes needed to develop, report, and analyze business data. The student is able to use and apply selected software.

Content

- Business Intelligence
- Reporting, descriptive and predictive analytics
- Data Science

Location and time

Starts at the 31st of August at 2:00 pm at the Myyrmäki campus, course ends in the latest at the 14th of December. Always see the latest schedule at the OMA's course page or at the calendar. Mainly on-site at the campus, preferences discussed with the group closer by.

Materials

Course OMA page.

Teaching methods

Course will be held mainly on-site at the campus: course includes lectures, practices, case-works and demonstrations with BI-tools.

Employer connections

Not in major part

Exam schedules

No exams. Only assignments and CASE-works.

International connections

International students

Completion alternatives

Executing only case-works and assignments, please discuss with lecturer first.

Student workload

Weekly work required.

Content scheduling

Small amount of work week-to-week, starting from the basics and proceeding to more demanding topics.

Further information

Course brings a lot of new BI- and data-analysis tools to one's portfolio and has receive great feedback from previous implementation. It is recommended to have own PC-laptop (not Apple), in case one doesn't have there are school computers for individual testing and practicing after lectures. Course language is English.

Evaluation scale

0-5

Assessment criteria, satisfactory (1)

The student has achieved the course objectives fairly. The student will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development.

Assessment criteria, good (3)

The student has achieved the course objectives well, even though the knowledge and skills need improvement on some areas. The student is able to define the course concepts and models and are able to justify the analysis. The student is able to apply his/her knowledge in leisure, study and work situations. The student understands the importance of expertise in the field of business and is able to analyze his/her own expertise.

Assessment criteria, excellent (5)

The student has achieved the objectives of the course with excellent marks. The student masters commendably the course subject area’s concepts and models. The student is able to make justified and fluent analysis and to present concrete development measures. The student is well prepared to apply his/her knowledge in leisure, study and work situations. The student is able to analyze the business sector expertise and the development of his/her own expertise.

Assessment criteria, approved/failed

The student has achieved the course objectives fairly. The student will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development.

Assessment methods and criteria

Explained further at the beginning of the course: from one to five, based on the executed assignments, case-works and active participation.

Prerequisites

IT Tools 5 cr or equivalent competences