Practical Data AnalysisLaajuus (5 cr)
Code: AL00CU46
Credits
5 op
Teaching language
- Finnish
Objective
Student can
- combine data of different formats and different contents into one usable data matrix
- apply tools to collect, describe and illustrate the data
- produce and interpret descriptive statistics and graphs
- teach a simple predictive model using machine learning methodology and assess the quality of the model
Enrollment
21.11.2022 - 15.01.2023
Timing
09.01.2023 - 28.04.2023
Number of ECTS credits allocated
5 op
Virtual portion
3 op
Mode of delivery
40 % Contact teaching, 60 % Distance learning
Unit
Faculty of Business and Hospitality Management (LAB)
Campus
Lahti Campus
Teaching languages
- Finnish
Degree programmes
- Complementary competence, Bachelor's (in Finnish)
Teachers
- Antti Salopuro
Scheduling groups
- Luennot 1 (Size: 0. Open UAS: 0.)
Groups
-
LLABTO23H
Small groups
- Luennot 1
Learning outcomes
Student can
- combine data of different formats and different contents into one usable data matrix
- apply tools to collect, describe and illustrate the data
- produce and interpret descriptive statistics and graphs
- teach a simple predictive model using machine learning methodology and assess the quality of the model
Assessment criteria
Excercises and assignment
Assessment scale
1-5
Failed (0)
Student has not achieved the objectives of the course sufficiently.
Assessment criteria: level 1 (assessment scale 1–5)
Student has achieved the objectives of the course sufficiently. The student is familiar with tools for collecting, storing and processing data. The student recognizes value-creating data sources for the business.
Assessment criteria: level 3 (assessment scale 1–5)
Student has achieved the objectives of the course in a good manner. The student is familiar with and can use tools for collecting, storing and processing data. The student recognizes value-creating data sources for the business.
Assessment criteria: level 5 (assessment scale 1–5)
Student has achieved the objectives of the course in an excellent manner. The student is familiar with, and can choose, and can use tools for collecting, storing and processing data. The student recognizes value-creating data sources for the business.