Data analytics and programmingLaajuus (5 cr)
Code: OT00EK11
Credits
5 op
Objective
You understand the application areas of data-analytics.
You are able to collect, pre-process, process, store, and visualize data.
You are able to implement a data-analytics application.
Content
What kind of problems can data-analytics solve?
What steps are there in data processing and analytics?
How do you implement a data-analytics application using libraries and interfaces in a programming language?
How do you utilize open databases and interfaces to collect data?
Enrollment
08.04.2024 - 21.04.2024
Timing
01.08.2024 - 31.12.2024
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Campus
Mikkeli Campus
Teaching languages
- Finnish
Seats
15 - 40
Degree programmes
- Degree programme in software engineering
Teachers
- Tuomas Reijonen
Groups
-
OTMI22SPSoftware Engineering, full-time studies
Objective
You understand the application areas of data-analytics.
You are able to collect, pre-process, process, store, and visualize data.
You are able to implement a data-analytics application.
Content
What kind of problems can data-analytics solve?
What steps are there in data processing and analytics?
How do you implement a data-analytics application using libraries and interfaces in a programming language?
How do you utilize open databases and interfaces to collect data?
Evaluation scale
1-5
Enrollment
06.04.2023 - 21.04.2023
Timing
04.09.2023 - 15.12.2023
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Campus
Mikkeli Campus
Teaching languages
- Finnish
Seats
20 - 40
Degree programmes
- Degree programme in software engineering
Teachers
- Tuomas Reijonen
Teacher in charge
Tuomas Reijonen
Groups
-
OTMI21SPSoftware Engineering, full-time studies
Objective
You understand the application areas of data-analytics.
You are able to collect, pre-process, process, store, and visualize data.
You are able to implement a data-analytics application.
Content
What kind of problems can data-analytics solve?
What steps are there in data processing and analytics?
How do you implement a data-analytics application using libraries and interfaces in a programming language?
How do you utilize open databases and interfaces to collect data?
Evaluation scale
1-5