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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
  • OTMI22SP
    Software 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
  • OTMI21SP
    Software 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