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Data AnalyticsLaajuus (5 cr)

Code: AL00CJ78

Credits

5 op

Teaching language

  • Finnish

Objective

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

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