Data Analytics (5 cr)
Code: AL00CJ78-3001
General information
Enrollment
20.11.2023 - 05.01.2024
Timing
08.01.2024 - 25.04.2024
Number of ECTS credits allocated
5 op
Virtual portion
5 op
Mode of delivery
Distance learning
Unit
Faculty of Business and Hospitality Management (LAB)
Campus
E-campus
Teaching languages
- Finnish
Degree programmes
- Complementary competence and optional courses, Bachelors
Teachers
- Antti Salopuro
Scheduling groups
- Luennot (Size: 0. Open UAS: 0.)
Groups
-
LLABTO23-24
Small groups
- Lecture
Learning outcomes
The student can:
- describe the steps of the data analytics process and understand the role of data analytics in modern business
- combine information sources of different content and different forms into usable data matrices
- use tools in gathering, describing, and visualizing various types of information
- produce and interpret key statistical measures and figures
- construct a simple predictive model using machine learning methods and evaluate its quality
Implementation and methods of teaching
Lectures, weekly lab exercises, miniproject
Assessment scale
1-5