Problem Solving with AnalyticsLaajuus (5 ECTS)

Course unit code: LE00FZ01

General information

Credits: 5 ECTS

Objective

Upon completion of the course, the student
• is able to identify and analyse business problems and factors impacting business with datamining tools
• is able to participate in organisation’s development projects.

Content

• Datamining in problem solving (Alteryx Designer or similar)
• Diagnostic and predictive analytics in problem solving
• Problem solving methods like classification, regression, predictions, clustering, outlier analysis, time-series and market-basket analysis

Qualifications

Basic studies
Seeing Through Data

Assessment criteria, satisfactory (1)

The student
• has achieved the objectives of the course to a satisfactory level
• is able to identify, define and use concepts and models in the subject area of the course
• understands the conditions and principles of the development of expertise.

Assessment criteria, good (3)

The student
• has achieved the objectives of the course well, although there are still areas where knowledge and skills need to be improved
• has a good understanding of the concepts and models of the subject matter of the course and is able to carry out a reasoned analysis
• is able to apply what they have learned in leisure, learning and working life situations
• understands the importance of expertise in business and is able to analyse their own expertise.

Assessment criteria, excellent (5)

The student
• has achieved the objectives of the course with excellent marks
• has an excellent command of the concepts and models of the subject matter of the course
• is able to analyse clearly and reasonably and propose practical development measures
• has a good ability to apply what they have learned in leisure, learning and working life situations
• is able to analyse expertise in business and their own development towards expertise.